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Research Article

Prevalence and Genotype Distribution of Human Papillomavirus in 92,932 Cases in Shanghai, China

, , , & ORCID Icon
Pages 517-526 | Received 01 Oct 2022, Accepted 07 Jun 2023, Published online: 16 Jun 2023

Abstract

Aim: Human papillomavirus (HPV) is the most common cause of high-grade lesions and carcinogenesis such as cervical intraepithelial neoplasia (CIN) and cervical cancer (CC). The prevalence and genotype distribution of HPV infection varies greatly in different geographical areas. Patients & methods: This study enrolled 92,932 patients from January 2017 to December 2021 and analyzed the prevalence and distribution of HPV genotypes. Results: 18038 (19.41%) specimens were HPV-positive. No significant difference in infection rates between men and women (19.05 vs 19.41%). The most prevalent HPV subtypes are HPV52, HPV58, HPV16, HPV53, HPV51 and HPV81. Single infection of HPV has dominated in HPV-positive patients. Conclusion: Our results show that the prevalence and distribution of HPV subtypes have obvious region-specific and age-specific characteristics.

Human papillomavirus (HPV) was originally called the ‘human warts virus’ because it can cause genital warts and laryngeal papillomatosis [Citation1]. In the 1970s, Harald Zur Hausen isolated HPV 16 and 18 from cervical cancer (CC) biopsy samples and proposed their possible carcinogenic effects in subsequent studies [Citation2–7]. Recently, HPV has been increasingly confirmed to exhibit carcinogenic potential in cervical cancer, anogenital malignancies, upper respiratory tract cancers and tumors in other sites [Citation8–10]. HPV is mainly transmitted through sexual contact, but there are also non-sexual transmission routes, including horizontal transmission, self-inoculation and vertical transmission [Citation11]. The horizontal transmission of HPV mainly refers to fingers, fomites and mouth to skin contact (other than sexual) [Citation12]. Recently, self-inoculation has been reported as a potential HPV transmission route in children and females without a history of sexual activity [Citation13]. Transmission of HPV from mother to newborn is known as vertical transmission.

Most HPV-infected women and men have no obvious clinical symptoms. However, recurrent or persistent HPV infection is considered to be the most common cause of high-grade lesions and carcinogenesis such as cervical intraepithelial neoplasia (CIN), CC and other malignancies [Citation14,Citation15]. According to the carcinogenicity for CC, HPV subtypes can be divided into high-risk HPV (HR-HPV), potentially high-risk HPV (PHR-HPV) and low-risk HPV (LR-HPV). In 2012, the International Agency for Research on Cancer (IARC) designated the subtypes of HPV16, HPV18, HPV31, HPV33, HPV35, HPV39, HPV45, HPV51, HPV52, HPV56, HPV58, HPV59, HPV66 and HPV68 as high-risk HPVs [Citation16]. Infection with HR-HPV or PHR-HPV is the main risk for cancers, while an LR-HPV infection usually leads to genital condyloma acuminatum. However, more and more HPV subtypes have been confirmed to be closely related to other cancers such as head and neck cancer, oral squamous cell carcinoma, bladder cancer, skin cancer and penile cancer in men. Among the common HPV subtypes, HPV16, HPV18, HPV33, HPV35 and HPV56 have been reported to be associated with head and neck cancer [Citation17]; HPV16 and HPV18 are associated with oral squamous cell carcinoma [Citation18]; HPV6, HPV 11, HPV16, HPV 18, HPV 31 and HPV 33 are associated with bladder cancer [Citation19]; while infection with HPV5, HPV8, HPV 15, HPV17, HPV20, HPV24, HPV36 and HPV38 increases the risk of skin cancer [Citation20]. Male infection with HPV6, HPV 11, HPV 16 and HPV18 has also been found to be associated with penile cancer [Citation21]. Evidence shows that the incidence of HPV infections in males has risen in recent years [Citation22,Citation23]. Therefore, it is important to detect HPV genotypes not only in females, but also in males, to prevent and treat cervical cancer.

HPV prevalence and genotype distribution in different countries and geographical regions are substantially varied. It has been reported that HPV58 and HPV52 were the most common subtypes in Asians [Citation24]. However, in China, a recent meta-analysis study demonstrated the prevalence of HPV genotypes HPV16 (34.56–36.61%), HPV58 (14.36–15.90%), HPV52 (14.01–15.53%) and HPV33 (7.31–8.48%) among women with cervical lesions. In addition, differences in prevalence and distribution of HPV genotypes were observed in different geographical regions of China. At present, relevant studies have been conducted in Beijing [Citation25], Hengyang [Citation26], Nanjing [Citation27], Yangzhou [Citation28] and Chongqing [Citation29].

Here, this study retrospectively analyzed the prevalence and distribution of HPV genotypes in 92,932 patients in central Shanghai from January 2017 to December 2021, providing references for early prevention and treatment of cervical cancer, male HPV detection and application of a HPV vaccine in Shanghai city.

Materials & methods

Reagents & instruments

The nucleic acid extraction kit and HPV genotyping detection kit were purchased from Ningbo Hershi Gene Technology Co., LTD (Ningbo, China). DNA extraction instrument (model: Smart LabAssist-32) was purchased from Taiwan Dot Nanotechnology Co., Ltd, and the PCR amplification instrument (model: A300) was purchased from Hangzhou Langji Scientific Instrument Co., LTD (Hangzhou, China). HPV genotyping was performed using a Beckman Coulter GenomeLab GeXP genetic analysis system (CA, USA).

Patients & specimen collection

Clinical specimens were collected from 92,932 outpatients at Changning Maternal and Infant Health Hospital from January 2017 to December 2021. For female patients, cervical exfoliated cell samples were scraped by a cytobrush and stored in a cell preservation solution. For male patients, exfoliated cells are usually collected from the penile head, inner prepuce plate and around the coronal sulcus. All protocols were approved by the ethics committee of Changning Maternal and Infant Health Hospital and patients involved in this study gave their informed consent.

DNA extraction

Ningbo Health DNA extraction kits (Ningbo Health Gene Technology Co., Ltd) were used to extract DNA from the exfoliated cells. According to the manufacturer’s instructions, the sample of exfoliated cells was swirled on the vortex mixer for 10 s. Then, 1 ml of the cell preservation solution sample was transferred into a 1.5 ml Eppendorf tube and centrifuged at 12,000 × g for 5 min. The supernatant was carefully removed and 200 μl 1× PBS buffer was added into the tube. The subsequent DNA extraction procedures were completed on the automatic DNA extraction instrument.

PCR amplification

The extracted DNA was used as a PCR reaction template. The PCR amplification system contained an 11 μl DNA template, 9 μl HPV PCR mix and 2 μl Taq DNA polymerase. PCR amplification procedures were as follows: pre-denaturation at 94°C for 8 min; denaturation at 94°C for 30 s, annealing at 60°C for 30 s and extension at 72°C for 1 min, repeated for 35 cycles; and final extension at 72°C for 1 min. Stored amplification products were used for capillary electrophoresis.

Capillary electrophoresis

28.7 μl SLS loading buffer, 0.3 μl DNA Size Standard-400, 1 μl PCR product and one drop of mineral oil were added to each sample well. Then, 220 μl of separation buffer was added to the appropriate position on the 96-well separation plate. All operations were carried out strictly in accordance with the manufacturer’s instructions. The HPV genotyping method is based on sequencing technology, the gold standard for genotyping. The detection results were consistent with the sequencing (data not shown).

Statistical analysis

The statistical analysis was performed using SPSS version 16.0 statistical software (SPSS Inc., IL, USA). The chi-square test (χ2 test) was used to compare count data between groups. p-values less than 0.05 were considered to be statistically significant.

Results

The overall infection of HPV

In this study, 19.41% (18,038/92,932) of patients demonstrated HPV infection (). The HPV infection rate in male and female patients was 19.05% (144/756) and 19.41% (17,894/92,176), respectively, with no significant difference between men and women (χ2 = 0.06; p = 0.80 > 0.05). Among HPV-positive cases, the infection rate of HR-HPV was 16.61% (15,438/92,932) and the infection rate of LR-HPV was 4.82% (4482/92,932). The most common genotypes of HPV included five HR-HPV which were HPV52 (4.08%), HPV58 (2.45%), HPV16 (2.38%), HPV53 (1.84%) and HPV51 (1.56%), and one LR-HPV that was HPV81 (1.37%) ().

Figure 1. Human papillomavirus prevalence among 92,932 patients.
Figure 1. Human papillomavirus prevalence among 92,932 patients.
Figure 2. Distribution of human papillomavirus subtypes among human papillomavirus-positive patients.

HPV: Human papillomavirus; HR-HPV: High-risk HPV; LR-HPV: Low-risk HPV.

Figure 2. Distribution of human papillomavirus subtypes among human papillomavirus-positive patients.HPV: Human papillomavirus; HR-HPV: High-risk HPV; LR-HPV: Low-risk HPV.

Multiple HPV infections

The rates of total, single, double and multiple HPV infections were analyzed over the calendar year from 2017 to 2021. Over the past five years, the total and single HPV infection rates showed an increasing trend and significant differences were found over the calendar year (linear-by-linear association test) (). However, in the past 5 years, the double and multiple HPV infection rates exhibited no significant differences ().

Table 1. The rates of single, double and multiple human papillomavirus infection from 2017 to 2021.

Annual analysis of HPV subtype infection

To further analyze the annual HPV subtype infections, we discovered there were significant differences in HPV16, HPV18, HPV26, HPV33, HPV35, HPV39, HPV53, HPV56, HPV68, HPV73, HPV43, HPV81 and HPV83 infection based on the year (linear-by-linear association test, p < 0.05) (). Moreover, the infection rates of HPV16, HPV26, HPV11 and HPV83 subtypes decreased with the year (gamma value < -0.100), while HPV39 infection showed an uptrend (gamma value > 0.100) ().

Table 2. Distribution of human papillomavirus subtypes infection in different years.

Age distribution of HPV subtypes infection

In the present research, we analyzed the distribution of 25 HPV genotypes among HPV-infected individuals. Among 17894 female and 144 male patients, the proportion of HPV16, HPV33, HPV52 and HPV58 in HPV-positive women was significantly higher than that in men, while the percentage of HPV39, HPV82 and HPV43 was significantly lower than that in men (p < 0.05) ().

Table 3. The infection of human papillomavirus subtypes in females and males.

HPV-positive females were further divided into six groups according to age to analyze and compare the differences in the distribution of HPV subtypes in different age groups. As shown in , the total HPV-infected females aged <20, 20–29, 30–39, 40–49, 50–59 and >60 years old were 118 (0.66%, 118/17,894), 3559 (19.89%, 3559/17,894), 6905 (38.59%, 6905/17,894), 3635 (20.31%, 3635/1789), 2259 (12.62%, 2259/17,894) and 1418 (7.92%, 1418/17,894), respectively. The distribution of HPV16, HPV18, HPV33, HPV45, HPV51, HPV52, HPV53, HPV58, HPV59, HPV66, HPV82, HPV6, HPV11, HPV42, HPV44, HPV81 and HPV83 was significantly different among women of different age groups (p < 0.05) (). Moreover, the distribution of HPV18, HPV45, HPV51, HPV59, HPV66, HPV82, HPV6, HPV44 and HPV83 infection among females <20 years old was significantly higher than that in other age groups (p < 0.05) (). In contrast, the distribution of HPV52, HPV53 and HPV42 was obviously lower in women aged below 20 than in other age groups (p < 0.05) (). In addition, this study indicated that the distribution of HPV18, HPV45, HPV51, HPV59, HPV82, HPV6, HPV11, HPV44 and HPV83 showed a greater trend in the younger population, while HPV44 and HPV81 were more frequent in the older population ().

Table 4. Distribution of human papillomavirus subtypes in female patients in different age groups.

Distribution of HPV subtypes in different diseases

To analyze the distribution characteristics of HPV subtypes in different diseases, we divided HPV-infected patients into five groups according to the final diagnosis: Normal condition, Inflammation, CIN1, CIN2/3 and Cancer. The distribution of HPV subtypes was different in the different disease groups. There were significant differences in the distribution of HPV16, HPV18, HPV52, HPV56, HPV58, HPV73, HPV42 and HPV83 in patients with different diseases (p < 0.05), and the infection rate of HPV73 and HPV83 decreased with the aggravation of cervical lesions (gamma value < -0.100) ().

Table 5. Distribution of human papillomavirus subtypes according to the final diagnosis.

Discussion

HPV is a circular, closed and double-stranded DNA virus that usually infects human mucosal and skin epithelial cells [Citation25,Citation30]. To date, over 220 subtypes of HPV have been identified (https://pave.niaid.nih.gov). The prevalence and subtype distribution of HPV has obvious regional characteristics. This study analyzed the prevalence and genotype distribution of HPV among patients in the Changning District, Shanghai. Our data revealed the average HPV infection was 19.41% in patients admitted at Changning Maternity and Infant Health Hospital over the past 5 years. The total HPV infection rate in this study was higher than that in Taiyuan (8.92%) [Citation31], Hengyang (10.16%) [Citation26], Zhengzhou (12.09%) [Citation32] and Xinjiang (14.02%) [Citation33], but lower than that in Zhejiang (22.3%) [Citation34], Hangzhou (22.41%) [Citation35], Shandong (28.4%) [Citation36] and Sichuan (31.5%) [Citation37]. Differences in HPV infection rates were partly related to population samples and geographical differences in China. In addition, we also found the total and single HPV infection rates in the Changning area showed an increasing trend over the past five years, whereas there was no significant change in double and multiple HPV infection rates. Our findings are consistent with those of other Chinese scholars [Citation25,Citation38,Citation39].

In view of the significant differences in the prevalence of HPV subtypes among the population, we further analyzed the characteristics of HPV subtype infection in the Changning area. Our data indicated that the most prevalent HPV subtypes were HPV52, HPV58 and HPV16 in the central area of Shanghai, which was different from the dominant HPV subtypes in western Shanghai [Citation40,Citation41]. In other cities in China, the prevalent HPV subtypes also varied greatly. For example, HPV52, HPV16 and HPV58 were the most common subtypes in Yunnan and Huzhou [Citation42,Citation43], HPV16, HPV52 and HPV58 in Beijing [Citation44], HPV16, HPV58 and HPV52 in Hunan [Citation26], HPV16, HPV52 and HPV18 in Hangzhou [Citation35], and HPV52, HPV16 and HPV53 in Taizhou and Xi’an [Citation45,Citation46].

Evidence showed that the prevalence of HPV subtypes is changing over time, possibly in part due to HPV vaccination in the population. In recent years, there have been different trends in the prevalence of different HPV subtypes. Our data suggested the infection rates of two HR-HPV (HPV16 and HPV26) and two LR-HPV (HPV11 and HPV83) exhibited a downward trend, while HPV39 infections showed an uptrend. Therefore, it has great significance to analyze the annual prevalence and distribution of HPV for formulating vaccination strategies.

An important factor related to HPV infection may be the age of patients. In our study, HPV-positive women aged 30–39 years accounted for the largest proportion (38.59%) of HPV infections and those younger than 20 years had the lowest proportion (0.66%). Our study shows that the HPV infection rate of young women is lower than that of older women, which is inconsistent with previous reports [Citation25,Citation47,Citation48]. This may be related to the smaller sample of young women in this study and the lower HPV detection rate among young women. In addition, our data suggested young women may be more susceptible to HPV18, HPV45, HPV51, HPV59, HPV66, HPV82, HPV6, HPV44 and HPV83. However, women over 40 years of age are more susceptible to HPV52, HPV53 and HPV81. In addition, the lower prevalence of HPV16 and 18 subtypes in women over 60 years old may be related to their decreased sexual behavior and regular HPV screening in Shanghai. Therefore, it is necessary to develop precise HPV vaccination strategies for women of different ages.

Persistent or repeated HPV infection is an important risk factor for cervical cancer and precancerous lesions [Citation15,Citation49]. Infection with HPV subtypes varies at different stages of disease progression. The infection rate of HPV16, HPV18 and HPV52 was significantly higher in the CC group, and the infection rate of HPV58 was higher in the CIN2/3 group. Additionally, the prevalence of HPV73 and HPV83 infection decreased with increasing cervical lesions. Since HPV16, HPV18 and HPV52 are typical HR-HPV subtypes, persistent infection of HR-HPV has been considered an independent risk factor for cervical cancer in women. Our findings are consistent with previous reports. Moreover, in this study, there were only 18 cases of cervical cancer with HPV multi-infection. However, due to the small sample size, no reliable conclusions can be drawn. Our results suggested that infection and prevalence of HPV subtypes differ in their prevalence and role in the disease process. Regular analysis of HPV infection and subtype distribution is necessary to understand human infection and develop vaccines.

In the present study, we also found the proportion of HPV16, HPV33, HPV52 and HPV58 in HPV-infected females was significantly higher than that in men, while the proportion of HPV39, HPV82 and HPV43 was significantly lower than in men. Due to the difference in the physiological structure of the male and female reproductive systems, the infection rate of HPV16, HPV52 and other HPV subtypes in males is relatively low. However, the reasons for the higher prevalence of HPV39, HPV82 and HPV43 in men are not clear. Given the small number of male patients, no further analysis of HPV subtype infection was performed by disease and age.

Although this study retrospectively analyzed and discovered the characteristics of HPV infection and subtype distribution in 92,932 patients in central Shanghai, there are still some unavoidable limitations. First of all, we lack more detailed demographic and clinical data, such as the patient’s sexual behavior, clinicopathological diagnosis data, clinical outcomes, etc., which makes it impossible to analyze the sexual behavior characteristics, clinicopathological grade characteristics and clinical outcomes of HPV-infected patients. Secondly, this study did not explore potential risk factors such as smoking, alcohol consumption and immune status for HPV infection. Moreover, the sample size of cervical cancer patients was very small, only 100 cases, resulting an inability to draw reliable conclusions from the the analysis of HPV infection and subtype distribution of cervical cancer patients. In follow-up research, we will pay attention to these factors and HPV vaccination status.

Conclusion

In conclusion, the present study exhibited a high prevalence of HPV52, HPV58, HPV16, HPV53, HPV51 and HPV81 in the Changning area of Shanghai, China. Single HPV infections were dominant in patients admitted to Changning Maternity and Infant Health Hospital. There was no significant difference in the infection rates between men and women. The prevalence and distribution of HPV subtypes have obvious region-specific and age-specific characteristics. It is necessary to investigate and analyze the subtype distribution of HPV infection in this region to prevent and treat cervical cancer and related diseases, develop targeted HPV vaccines and promote the screening of male patients.

Summary points
  • This study retrospectively analyzed the prevalence and distribution of HPV genotypes in 92,932 patients in central Shanghai from January 2017 to December 2021, providing references for early prevention and treatment of cervical cancer, male HPV detection and application of HPV vaccine in Shanghai city.

  • Among all specimens, 18038 (19.41%) were HPV-positive. There was no significant difference in infection rates between men and women (19.05 vs 19.41%). The most prevalent HPV subtypes were HPV52, HPV58, HPV16, HPV53, HPV51 and HPV81. Single infection of HPV dominated in HPV-positive patients. The infection rates of HPV16, HPV26, HPV11 and HPV83 subtypes decreased with the year, while HPV39 infection showed an uptrend.

  • Among 17894 female and 144 male patients, the proportion of HPV16, HPV33, HPV52 and HPV58 in HPV-positive women was significantly higher than in men, while the percentage of HPV39, HPV82 and HPV43 was significantly lower than in men. The distribution of HPV18, HPV45, HPV51, HPV59, HPV66, HPV82, HPV6, HPV44 and HPV83 infection among females under 20 years old was significantly higher than that in other age groups. In contrast, the distribution of HPV52, HPV53 and HPV42 was obviously lower in women aged below 20 than in other age groups.

  • There were significant differences in the distribution of HPV16, HPV18, HPV52, HPV56, HPV58, HPV73, HPV42 and HPV83 in patients with different diseases, and the infection rate of HPV73 and HPV83 decreased with the aggravation of cervical lesions.

  • There was a high prevalence of HPV52, HPV58, HPV16, HPV53, HPV51 and HPV81 in the Changning area of Shanghai, China. Single HPV infections were dominant in patients admitted to Changning Maternity and Infant Health Hospital.

  • There was no significant difference in the infection rates between men and women. The prevalence and distribution of HPV subtypes have obvious region-specific and age-specific characteristics.

Financial & competing interests disclosure

This work was partially funded by the National Natural Science Foundation of China (no. 81972709 and no. 82211530434), the Foundation of Changning District Medical Doctor Innovative Talent Base, Shanghai, China (no. RCJD2021B08) and the Internal Foundation of Changning Maternity and Infant Health Hospital (no. 2023Y-7). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Additional information

Funding

This work was partially funded by the National Natural Science Foundation of China (no. 81972709 and no. 82211530434), the Foundation of Changning District Medical Doctor Innovative Talent Base, Shanghai, China (no. RCJD2021B08) and the Internal Foundation of Changning Maternity and Infant Health Hospital (no. 2023Y-7). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.

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