Multiple Human Papilloma Virus Infections and Their Impact on the Development of High-Risk Cervical Lesions

The cervical cancer related distribution, coinfection and risk of 15 HPV types in Baoan, Shenzhen, in 2017-2023

Cervical cancer is one of the most common malignant tumours. Human papillomavirus (HPV) infection is the main cause of this cancer so that it could be prevented by screening and early treatment. Developing reginal screen protocols of maximum public health efficacy requires in-depth understandings of local HPV distribution and consequential cancer risks. Therefore, test results of HPV genotyping, cytology testing (TCT) and colposcopy inspection with biopsy were collected in this retrospective research. Data included by this research involved 63,906 women received screen related tests from Shenzhen Baoan Shiyan People's Hospital and the subsidiary institutes between 2017.01 and 2023.05. 10,238 colposcopies were performed in this period collecting 8,716 samples and 814 high-grade CIN were discovered. Within the 763 high-grade CIN cases with both TCT and HPV testing results, 232 were tested cytologically normal but only 30 were negative in HPV test. Besides, the rates of high-grade CIN observed in coinfection were all lower than the estimated rates generated from related single infection. HPV 52, 58 and 16 were found to be the most common types in Baoan, Shenzhen. The result also suggested that HPV coinfections should not increase risk for cervical cancers.

Does HPV-18 co-infection increase the risk of cervical pathology in individuals with HPV-16?

OBJECTIVE

We aimed to investigate differences between HPV-16 mono- and HPV-16/18 co-infections in terms of cervical dysplasia and invasive cancer.

METHODS

This multicentre, retrospective study spanned from December 2017 to December 2020, involving women who visited gynaecological oncology clinics for colposcopy with either HPV-16 or HPV-16/18 positivity. A total of 736 patients, 670 in Group 1 (HPV-16 positivity) and 66 in Group 2 (HPV-16/18 positivity), were compared for the presence of CIN2+ lesions detected by colposcopic biopsy or endocervical curettage (ECC). Exclusions included hysterectomized patients, those with prior gynaecological cancers, and patients with HPV positivity other than types 16 and 18.

RESULTS

Among the included patients, 42.4% had a diagnosis of CIN2+ lesions. The cytology results demonstrated abnormal findings in 45.3% in Group 1 and 42.2% in Group 2, with no significant difference between the groups. ECC revealed CIN2+ lesion in 49 (8.7%) patients in group 1, while only 1 (1.7%) patient had CIN2+ lesion in group 2. There was no difference between 2 groups in terms of ECC result (p = 0.052). In group 1, 289 (43.1%) patients had CIN2+ lesion, while 23 (34.8%) patients had CIN2+ lesions in group 2. There was no difference between group 1 and 2 in terms of diagnosis of CIN2+ lesions (p = 0.19).

CONCLUSION

This multicentre retrospective study found no significant differences between HPV-16 mono- and HPV-16/18 co-infections regarding cervical pathologies. Larger studies are needed to validate and further explore these findings.

Nonlinear relationship between viral load and TCT in single/multiple HPV52 infection

PURPOSE

To determine the correlation between HPV (human papillomavirus) 52 viral load, multiple infections and ThinPrep cytology test (TCT), to inform clinical management of HPV52-positive women after cervical cancer screening.

METHODS

A total of 1,882 female patients who had positive quantitative HPV tests at Yuebei People's Hospital from January 2020 to December 2022, of whom 533 tested positive for HPV52. We excluded patients who combined HPV16 and/or HPV 18 positivity and whom HPV52 viral load could not be calculated. The final enrollment was 488 patients, including 400 NILM, 48 ASC-US, 28 LSIL and 12 HSIL. The HPV test is a quantitative multiplexed fluorescent PCR assay that provides both HPV genotyping and viral load.

RESULTS

In our study, there were differences in the median distribution of viral loads among various cytological class categories. The risk of TCT results (LSIL or worse) was increased with the increase of HPV52 viral load, for every LOG unit increase in HPV52 viral load, the risk increased by 26.6%. More importantly, we found a nonlinear relationship between HPV52 viral load and TCT results (LSIL or worse) in both single and multiple infections. When the viral load reaches a threshold, the risk of abnormal cytological results increases significantly.

CONCLUSION

HPV52 viral load is an independent risk factor for TCT results (LSIL or worse). The relationship between HPV52 viral load and TCT results (LSIL or worse) is not linear. Viral load may be used as a triage indicator for HPV52-positive patients, thus improving the post-screening clinical management of HPV52-positive women.

Current status of high-risk HPV infection and correlation with multiple infections in cervical lesions in Western Guangzhou

Objective

This study aims to investigate the current status of multiple HPV infection and its association with cervical lesions in the western region of Guangzhou.

Methods

A retrospective analysis of clinical data from cervical cancer screening patients was conducted. The patients were grouped based on HPV genotypes and cervical pathology results to explore the prevalence of high-risk HPV infection and its relationship with cervical lesions in the western region of Guangzhou. The study also analyzed the relationship between high-risk HPV infection and cervical lesions among different age groups.

Results

A total of 13,060 patients were included in the study, with an overall infection rate of 18.46% (2,411/13,060). Among them, the infection rate of HPV genotype 16 was 14.14% (341/2,411), HPV genotype 18 was 5.23% (126/2,411), and other 12 high-risk HPV genotypes accounted for 71.96% (1,735/2,411). When comparing the incidence of HSIL+ (high-grade squamous intraepithelial lesion or worse) among different HPV genotypes, the results showed that the HPV 16 infection group (47.50%) had a higher incidence than the HPV 18 infection group (25.40%) and the other 12 high-risk HPV genotypes group (15.97%; P < 0.05). In the multiple infection groups, the pathogenicity rates were 63.64% (7/11) for the 16+18 HPV infection group, 42.97% (55/128) for the 16+other 12 high-risk HPV genotypes infection group, 26.79% (15/56) for the 18+other 12 high-risk HPV genotypes infection group, and 57.14% (8/14) for the 16+18+other 12 high-risk HPV genotypes infection group. These rates were significantly different compared to the single infection group (P <0.01). Although there was no statistically significant difference in the incidence of cervical cancer between the HPV 16 infection group and the HPV 18 infection group, both groups had a higher incidence compared to the group with other 12 high-risk HPV genotypes infection (P < 0.05). Further analysis suggests that the severity of cervical lesions is not associated with the number of high-risk HPV infections, i.e., the severity of cervical lesions is unrelated to multiple HPV infections but is instead related to the pathogenicity of the HPV genotypes. The infection rate and multiple HPV infection rate of women under 35 years old were higher than those of women aged 35 and above (20% vs. 17.1%; 2% vs. 1.3%; P < 0.05). Moreover, the pathogenicity rate of HSIL+ among high-risk HPV infection increased with age.

Conclusions

In the western region of Guangzhou, the overall infection rate of high-risk HPV is 18.46%. The severity of cervical lesions is unrelated to multiple HPV infections. The fundamental reason is the distinct pathogenicity of different HPV genotypes. The HSIL+ pathogenicity rates, from high to low, are in sequence for HPV 16, HPV 18, and the other 12 HPV types.

Associations of Single Versus Multiple Human Papillomavirus Infections With the Prevalence of Cervical Intraepithelial Neoplasia 2/3 and Squamous Cell Carcinoma Lesions: Human Papillomavirus Type-Specific Attribution

The risk of developing cervical squamous lesions in women with multiple high-risk human papillomavirus (hrHPV) infections is uncertain. The aim of this retrospective study was to investigate the type-specific attribution and phylogenetic effects of single and multiple hrHPV subtypes in cervical squamous lesions. All cases with cervical histopathologic diagnosis and human papillomavirus (HPV) genotyping results in the 6 months preceding biopsy from October 2018 to December 2022 were studied and analyzed. Over the study period, 70,361 cases with histopathologic follow-up and prior HPV genotyping were identified. The hrHPV-positive rate was 55.6% (39,104/70,361), including single hrHPV detected in 27,182 (38.6%), 2 types of hrHPV detected in 8158 (11.6%), and 3 types of hrHPV detected in 2486 (3.5%). Among 16,457 cases with a histologically diagnosed squamous lesion (cervical intraepithelial neoplasia 1: 11411; cervical intraepithelial neoplasia 2/3: 4192; squamous cell carcinoma: 854 cases), the prevalence of single hrHPV infection increased, but the rate of multiple concomitant hrHPV infections showed negative association as the degree of squamous lesions increased. Among women with a single HPV16 infection, cervical intraepithelial neoplasia 2/3 and squamous cell carcinoma (CIN2+) diagnostic rate was 30.6%, and it increased to 47.6% when coinfected with HPV33 (P < .001) but significantly decreased when coinfected with all other hrHPV types (P < .05). By comparing CIN2+ diagnostic rates in 40 most common 2 types of hrHPV infections with related single hrHPV infection, CIN2+ rates were decreased in 12 combinations (30.0%), equivalent in 26 combinations (65.0%), and increased in 2 combinations (5.0%). The cases with 3 types of HPV infections reduced the risk for CIN2+ compared with related single HPV infections. HPV16+52+53, HPV16+52+68, HPV16+52+51, HPV16+39+52, and HPV16+58+53 significantly decreased the risk of CIN2+ compared with HPV16 single infection (P < .05). This study demonstrates that multiple hrHPV infections are not associated with cumulatively higher risk for CIN2+ development, suggesting that oncogenic progression of multiple hrHPV-associated cervical squamous lesions is neither synergistic nor a cumulative effect at the phylogenetic level, possibly a way of competitive interference.

Epidemiology of human papillomavirus infection in women from Xiamen, China, 2013 to 2023

Background

Cervical cancer is primarily caused by HPV infection. The epidemiology of HPV infection in specific areas is of great meaning of guide cervical cancer screening and formulating HPV vaccination strategies. Here, we evaluated the epidemiological characteristics of HPV infection in Xiamen population.

Methods

In total, 159,049 cervical exfoliated cell samples collected from female outpatients in Women and Children's Hospital, School of Medicine, Xiamen between January 2013 and July 2023 were analyzed. HPV DNA detection was performed using HPV genotyping kits (Hybribio Limited Corp, China). An analysis was conducted on the prevalence of HPV infection, taking into account factors such as age, year, and multiple patterns of HPV infection. The differences in prevalence among age groups and years were compared using χ2 test.

Results

The overall prevalence of any 21 HPV genotypes was 18.4%, of which the high-risk HPV (HR-HPV) positive rate was 14.6%. The age-specific prevalence of HPV infection showed a bimodal distribution, with two distinct peaks, one at <25 years (31.2%) and the other at 60-64 years (32.9%). There was a downward trend in the prevalence of HPV infection over time, decreasing from 26.2% in 2013 to 14.5% in 2021, and then increasing to 19.0% in 2023. The five most prevent HR-HPV genotypes were HPV52 (4.0%), 58 (2.6%), 16 (2.5%), 51 (1.8%), and 39 (1.7%). Among the positive cases, 76.7% were detected with only one genotype and 23.3% with multiple genotypes. The most common co-infection was HPV52 + HPV58 (0.24%), followed by HPV16 + HPV52 (0.24%), HPV52 + HPV53 (0.21%), HPV52 + HPV81 (0.21%), HPV51 + HPV52 (0.19%), HPV16 + HPV58 (0.18%), and HPV39 + HPV52 (0.17%).

Conclusion

The study provided the largest scale information on the recent epidemiological characteristics of HPV infection in Xiamen, and even in Fujian Province, China, which would support making the prevention and control strategies for cervical cancer in the region.

Multiple high-risk HPV infections probably associated with a higher risk of low-grade cytological abnormalities but not with high-grade intraepithelial lesions of the cervix

BACKGROUND

For women diagnosed with HR-HPV DNA positivity in community hospitals, the necessity of investigating the potential presence of multiple HR-HPV infections upon referral to tertiary medical institutions remains unclear.

METHODS

In our cohort, women tested positive for HR-HPV DNA during examinations in community hospitals, were subsequently referred to tertiary medical facilities, reevaluated HR-HPV genotype and categorized based on cytological and histopathological results. The risk of cytologic/histopathology abnormalities and ≧ high grade squamous intraepithelial lesion(HSIL) or Cervical Intraepithelial Neoplasia (CIN) 2 associated with individual genotypes and related multiple HPV infections are calculated.

RESULTS

A total of 1677 women aged between 21 and 77 were finally included in the present study. The cytology group included 1202 women and the histopathological group included 475 women with at least one HR-HPV infection of any genotype. We only observed a higher risk of low grade cytological abnormalities in women with multiple infections than those in corresponding single infections (for all population with an OR of 1.85[1.39-2.46]; p < 0.05). However, this phenomenon was not observed in histopathology abnormalities (CIN1). The risk of developing of ≥ HSIL/CIN2 in women who were infected with multiple HR-HPV also showed a similar profile to those with a single HR-HPV genotype.

CONCLUSION

Multiple HR-HPV infections is only associated with a higher associated risk of low grade cytological abnormalities. There is no evidence of clinical benefit to identify the possible presence of multiple HR-HPV infection frequently in a short period of time for women with HR-HPV-DNA positive.

Comparison of four different human papillomavirus genotyping methods in cervical samples: Addressing method-specific advantages and limitations

Since human papillomavirus (HPV) is recognized as the causative agent of cervical cancer and associated with anogenital non-cervical and oropharyngeal cancers, the characterization of the HPV types circulating in different geographic regions is an important tool in screening and prevention. In this context, this study compared four methodologies for HPV detection and genotyping: real-time PCR (Cobas® HPV test), nested PCR followed by conventional Sanger sequencing, reverse hybridization (High + Low PapillomaStrip® kit) and next-generation sequencing (NGS) at an Illumina HiSeq2500 platform. Cervical samples from patients followed at the Family Health Strategy from Juiz de Fora, Minas Gerais, Brazil, were collected and subjected to the real-time PCR. Of those, 114 were included in this study according to the results obtained with the real-time PCR, considered herein as the gold standard method. For the 110 samples tested by at least one methodology in addition to real-time PCR, NGS showed the lowest concordance rates of HPV and high-risk HPV identification compared to the other three methods (67-75 %). Real-time PCR and Sanger sequencing showed the highest rates of concordance (97-100 %). All methods differed in their sensitivity and specificity. HPV genotyping contributes to individual risk stratification, therapeutic decisions, epidemiological studies and vaccine development, supporting approaches in prevention, healthcare and management of HPV infection.

Analysis of age-specified and genotype distribution of HPV multiple infections in the Chinese population

Multiple infections are a key component of HPV pathogenesis and have a direct impact on how an infection turns out. It's crucial to look at the associations between HPV multiple infections and both age and HPV genotypes in the Chinese population, searching for the causative factors of multiple infections with a view to providing new ideas for the treatment and prevention of multiple infections. In this study, we retrospectively analyzed the data of HPV infections among outpatients from the 2019 year to the 2021 year of Shandong Maternal and Child Health Hospital. Analyzed the correlation between HPV multiple infections and age using logistic regression. Differences in the percentage of multiple infections between age groups were compared using the chi-square test. The chi-square test compared the differences in the distribution of 15 common HPV genotypes in mono- versus multiple infections. A two-dimensional matrix presented the frequency of HPV genotype combinations. Logistics regression analysis showed that age was significantly associated with the occurrence of multiple infections, with a dominance ratio OR 1.026 (95% CI 1.02-1.04). Interestingly, the proportion of HPV multiple infections among HPV-positive individuals increases with age in people older than 30 years of age. The chi-square test showed there was a difference in the distribution of HPV genotypes between multiple infections and mono- HPV infection (χ2 = 76.4; p = 0.000), a difference in the composition of HPV genotypes for dual versus single infections (χ2 = 90.6; p = 0.000) and a difference in HPV genotypes for triple versus single infections (χ2 = 56.7; p = 0.000). A 2 × 2 matrix showed that the combination of HPV52/HPV58 (30; 6.4%) was the combination of the highest frequency of infection for dual infections; The HPV52/HPV58 (21; 4.8%) combination was the highest frequency of HPV triple infection combination. HPV multiple infections were positively correlated with age; increasing age was positively correlated with the proportion of HPV multiple infections in the total infected population; the distribution of the 15 common genotypes of HPV differed between multiple infections and single infections; and HPV52:58 was a common type of infection combination in the Shandong population.

Single and Multiple High-Risk Human Papillomavirus Infections in Histopathologically Confirmed Cervical Squamous Lesions: Incidences, Distribution, and Associated Detection Rates for Precancerous and Cancerous Lesions

Coinfection with multiple high-risk human papillomavirus (hrHPV) is frequently observed in cervical specimens; however, the clinical significance of concomitant multiple hrHPV infections is poorly understood, and the published results remain inconsistent. A retrospective study at a tertiary care institution was performed, evaluating Tellgenplex human papillomavirus (HPV) 27 genotyping or YanengBio HPV 23 genotyping results and immediate cervical histologic diagnosis (within 6 months after HPV genotyping), between November 2015 and October 2022. Among 49,299 cases with hrHPV genotyping and histologic diagnosis, 24,361 cases were diagnosed as cervical intraepithelial neoplasia (CIN) and squamous cell carcinoma. Among women with cervical squamous lesions, 86.5% (21,070/24,361) had hrHPV infections, and concomitant multiple hrHPV infections accounted for 24.7% of hrHPV-positive cases (5210/21,070). The hrHPV-positive rates in these cervical squamous lesions increased progressively with disease severity; however, the percentages of concomitant multiple hrHPV infection rates among hrHPV-positive cases decreased significantly with increasing degree of squamous abnormalities. There was no increased detection rate of CIN3+ (CIN3 and squamous cell carcinoma) in cases with concomitant 2 or 3 hrHPV genotype infections when compared with those with corresponding single hrHPV infections. Conversely, some combinations of multiple hrHPV infections demonstrated a decrease in the detection rates of CIN3+ lesions. In this large cohort, our results demonstrated that multiple hrHPV infections do not carry an increased risk for developing CIN3+ lesions when compared to the corresponding single-genotype infection. The reduced risk of CIN3+ in women infected with some combinations of hrHPV genotypes compared to those with single-genotype infections supports the concept of intergenotypic competition of hrHPV genotypes in cervical squamous lesions.

Human Papillomavirus Genotype Richness and the Biodiversity of Squamous and Glandular Cervical Dysplasias: A Cross-Sectional Study

The impact of multiple infections on the risk of cervical lesions is a subject of ongoing debate. This study aims to explore whether the richness of HPV genotype infections and the biodiversity of squamous and glandular cervical dysplasias could influence the progression of precancerous lesions. We conducted a cross-sectional analysis involving 469 women who attended the Colposcopy Unit at the European Institute of Oncology in Milan, Italy, from December 2006 to December 2014. HPV type richness was measured as the number of different genotypes per patient. We calculated the associations between richness and age, as well as histologic grade, along with Simpson's biodiversity index for cervical dysplasias. We observed significant inverse relationships between the richness of high-risk (HR) genotypes and both age (p = 0.007) and histologic grade (p < 0.001). Furthermore, as the histologic grade increased, the mean biodiversity index of cervical dysplasias decreased, with exceptions noted in cases of normal histology and adenocarcinoma in situ. Different histologic grades formed five clusters with distinct mean ages and mean biodiversity indices. These findings suggest that HPV genotype richness and the biodiversity of cervical dysplasias may play a crucial role in predicting the risk of high-grade cervical lesions, enabling personalized management of precancers.

Risk of cervical intraepithelial neoplasia grade 3 or more diagnoses for human papillomavirus16/18-positive women by cytology and co-infection status

BACKGROUND

Human papillomavirus (HPV) 16 and 18 cause approximately 70% of cervical cancer cases. The aim of this study was to evaluate whether co-infected with other HPV genotypes will affect the risk of cervical carcinogenesis in HPV16/18 positive-women.

METHODS

In this cross-sectional study, cervical cytology and histological classifications from women who tested positive for HPV 16/18 and underwent colposcopy within 6 months, between January 2010 and May 2021 were obtained from West China Second University Hospital of Sichuan University.

MAIN OUTCOMES AND MEASURES

Immediate risk of cervical intraepithelial neoplasia grade 3 or more diagnoses (CIN 3+).

RESULTS

A total of 7940 HPV 16/18-positive women were included, with a median age of 40 years (range 25-84 years). Among them, 2710 (34.1%) were infected with multiple genotypes, 6533 (82.28%) had cytology results and 2116 (26.65%) women were diagnosed with CIN 3+. The effects of HPV 16/18 coinfecting with other HPV on CIN3 + risk varied with specific HPV genotypes. After adjusting for cofactors, compared to single HPV 16 infection, the CIN 3 + risk was significantly reduced in women infected with HPV 16 + other high-risk HPV (hrHPV) [odds ratio (OR) = 0.621, 95% confidence interval (CI) 0.511-0.755], HPV 16 + low-risk HPV (lrHPV) (OR = 0.620, 95% CI 0.436-0.883), and HPV 16 + lrHPVs + other hrHPVs (OR = 0.248, 95% CI 0.157-0.391). The prevalence of CIN 3 + was associated with increased severity of cytologic abnormalities in HPV 16/18-positive women and peaked at cytology HSIL + (89.9% and 82.3%), which held a substantially greater risk than that of NILM (OR = 65.466, 95% CI 50.234-85.316).

CONCLUSIONS

In this cross-sectional study of HPV 16/18-positive women, the effects of multiple infection were likely complicated and varied with specific HPV genotypes. The coinfection of HPV 16 and other genotypes of HPV except HPV 18 was associated with decreased CIN 3 + risk. Cytologic results were informative when HPV 16/18 was positive. It might be reasonable to recommend expedited treatment for patients with HPV 16/18 positive and HSIL + cytology in the Chinese population.

Relative distribution of HPV genotypes in histological cervical samples and associated grade lesion in a women population over the last 16 years in Burgundy, France

Human papillomavirus is a predominant sexually transmitted viral pathogen. Our objective was to analyze the relative distribution of genotypes over time and to determine the genotypes associated with adverse clinical lesions. The study was based on data from adult women with cytological abnormalities from whom histological samples were obtained from 2005 to 2021. HPV genotyping was performed using PCR and INNO-LiPA assay (Fujirebio). Among the 1,017 HPV-positive biopsies, 732 (72%) were infected with a single HPV genotype and 285 (28%) were infected with several HPV genotypes. Most of the infections involved the high-risk genotypes 16, 31, and 52. Throughout the study period, HPV 16 was the most encountered genotype (541, 53.2%), while HPV 18 was rather under-represented (46, 4.5%), especially in invasive cervical carcinoma. HVP52 (165, 16.2%) was detected mainly from 2008 to 2014, and its distribution reached 19.7% in 2011. Such epidemiological data underlines the possibility of an emergence of a high-risk genotype. The most detected low-risk HPV in combination with high-risk HPV was HPV 54 in 6.5% of samples. Monoinfection by HPV 16 led statistically more often to severe lesions than multi-infection involving HPV 16 (p < 0.001), while for HPV 52, 31 or 33, multi-infections were significantly associated with severe lesions (p < 0.001 for each of these three genotypes). HPV 16 was involved in 55.2% of high-grade lesions and in situ carcinoma and 76.3% of invasive carcinomas. In severe lesions, HPV 16 participation was predominant, whereas diverse genotypes were seen in low-grade lesions. Importantly, we observed that high-risk genotypes, for example HPV 52, can emerge for a few years then decrease even without vaccine pressure.

Multiple infections containing the top five prevalent HPV genotypes and their impact on cervical lesions in Changzhou, China

Human papillomavirus (HPV) infection is the primary cause of cervical cancer and its precursor lesions. The overall prevalence of HPV genotypes in Changzhou has previously been reported. However, the distribution of multiple HPV infections and their roles in cervical injury have less been investigated. We aimed to assess the prevalence of multiple HPV infections among the people in Changzhou. Furthermore, we analyzed whether multiple HPV infections comprising the top five prevalent HPVs were more associated with abnormalities in E6 and E7 (E6/E7) mRNA, liquid-based cytology, and cervical histopathology than a single infection. In the current study, HPV 16, 52, 58, 53, and 81 were the top five prevalent HPV types, both in single and multiple infections. Compared to a single infection, multiple infections containing HPV 16/52/58 were closely linked to positivity for E6/E7 mRNA. In addition to HPV 16, multiple infections containing the remaining top four HPVs conferred a significant advantage on atypical squamous cells of undermined significance or worse in comparison to a single infection. Furthermore, women with multiple infections containing the top five prevalent HPV types were more likely to develop cervical intraepithelial neoplasia grade II or worse than those with a single HPV infection. Our results demonstrate the superiority of multiple HPV infections containing the top five prevalent HPV types in cervical disease progression, which should be closely monitored. These findings are conducive for formulating regional preventive strategies for cervical cancer screening and vaccination in Changzhou.

The correlation between multiple HPV infections and the occurrence, development, and prognosis of cervical cancer

Cervical carcinoma is the fourth female malignant tumor in the world, and the persistent infection of high-risk human papillomavirus (HPV) is recognized as the most common cause. This article studies the correlation between multiple HPV infections and the occurrence, development, and prognosis of cervical cancer in order to provide more references for clinical diagnosis and treatment. We conducted a retrospective analysis of the clinical data of 400 cervical carcinoma patients admitted to our hospital from 2015 to 2023. The collected patient data include age, HPV infection status, tumor size and morphology, local infiltration depth, diagnostic staging, surgical approach, vascular cancer thrombus status, lymph node status, and postoperative HPV follow-up status. We use SPSS statistical software for data analysis. Our research shows that the high-risk age group for cervical carcinoma is concentrated between 41 and 60 years old, which is basically consistent with the age range of the high incidence of HPV infection. In the statistics for HPV infection types, ~67.7% of patients are single HPV-infected, 25.29% are double infected, and 7.00% are infected with three or more types of HPV. Among the multiple HPV infections, most of the patients are younger than 40 years old and older than 70 years old, with double infection accounting for the majority. The top five HPV subtypes with high detection rates belong to high-risk subtypes, which are the HPV16, 18, 58, 33, and 52 subtypes, respectively. There was no significant relationship between multiple HPV infections and cervical cancer stage, lesion size, pathological tissue type, tissue differentiation degree/vascular cancer thrombus, and lymph node metastasis, and there was no significant difference in the results between the groups. In summary, multiple types of HPV infection in the cervix are common. We found that multiple infections, mainly HPV16, are closely related to cervical cancer. For the HPV16, 18, 58, 33, and 52 subtypes of infection, especially for patients younger than 40 years old and older than 70 years old, priority should be given to prevention and treatment. The relationship between multiple HPV infections and the progression and prognosis of cervical carcinoma requires further research, which could better guide cancer prevention and treatment.

Genotype profiles of high-risk human papillomavirus in women of reproductive age: A community-based study

PURPOSE

This research is a preliminary study to observe the high-risk HPV infection profile among asymptomatic women, as a basis for developing Indonesian-specific reagents and implementing a national vaccination program.

METHODS

The research subjects were female employees/families of BUMN (state-owned enterprises) who underwent annual routine medical check-up. The research sample was a cervical swab which was examined using the Cobas® 6800 platform for HPV identification and INNO Lipa (Fujirebio) kit for identification of the genotype.

RESULTS

Out of 858 cervical swab samples collected in this study, 31 samples were excluded as they had invalid results from the initial examination, so the remaining 827 samples continued this study protocol. Of those samples, 69 (8%) samples gave positive results, giving an overall HPV prevalence of 8%. Among HPV-positive samples, HPV 52 was the most common genotype (N = 15, 21.7%) found as both single-infection and multiple infections. The median age of subjects was 38 years. There were nine samples (13%) with multiple infections of two or more genotypes and seven samples (10.1%) with no specific genotype identified.

CONCLUSION

HPV prevalence was 8%, with HPV 52 being the most common high-risk type, making it a necessity to develop a diagnostic kit and vaccine for national vaccination program that is specific for Indonesian population which includes this genotype.

Development of a simplified and cost-effective sample preparation method for genotyping of human papillomavirus by next-generation sequencing

High-risk human papillomavirus (HPV) infection is the most common cause of cervical cancer, but low-risk HPV strains can sometimes also be involved. Although HPV genotyping techniques used in clinical diagnosis cannot detect low-risk HPV, next-generation sequencing (NGS) can detect both types. However, DNA library preparation is complicated and expensive. The aim of this study was to develop a simplified, cost-effective sample preparation procedure for HPV genotyping based on next-generation sequencing (NGS). After DNA extraction, a first round of PCR was performed using modified MY09/11 primers specific for the L1 region of the HPV genome, followed by a second round of PCR to add the indexes and adaptors. Then, the DNA libraries were purified and quantified, and high-throughput sequencing was performed using an Illumina MiSeq platform. The sequencing reads were compared with reference sequences for HPV genotyping. The limit of detection for HPV amplification was 100 copies/µl. Analysis of the correlation of pathological cytology with the HPV genotype in individual clinical samples showed that HPV66 was the most common genotype found in the normal stage, whereas HPV16 was the main genotype found in low-grade squamous intraepithelial lesions, high-grade squamous intraepithelial lesions, and cervical cancer. This NGS method can detect and identify several HPV genotypes with 92% accuracy and 100% reproducibility, and it shows potential as a simplified and cost-effective technique for large-scale HPV genotyping in clinical samples.

Extended human papillomavirus genotype distribution in cervical intraepithelial neoplasia and cancer: Analysis of 40 352 cases from a large academic gynecologic center in China

Our aim was to conduct a large epidemiologic analysis of the distribution of human papilloma virus (HPV) genotypes associated with cervical neoplasias and cancers at a major Chinese gynecologic center. The pathologic database was searched for cervical histopathologic diagnoses with prior HPV genotyping from liquid cervical cytology specimens obtained ≤6 months before biopsy. HPV testing was performed by using the Tellgenplex HPV27 or YanengBio HPV23 genotyping assays. A total of 40 352 cases meeting study criteria were identified. High risk human papillomavirus (hrHPV) was detected in 94.1% of squamous cancers compared to in only 83.3% of cervical adenocarcinomas. The prevalence of multiple HPV infections was highest in cervical intraepithelial neoplasia 1 (CIN1) (33.8%) and decreased with increasing severity of squamous lesions. The distribution of HPV genotypes was similar between CIN1 and histopathologic-negative cases. HPV16 was one of the three most common hrHPV genotypes before all histopathologic abnormalities, ranging from 72.0% for cervical cancers, 38.7% for CIN2/3/AIS, 13.1% for CIN1, and 9.1% for biopsy-negative cases. HPV16 and HPV18 accounted for over 87.2% of detected hrHPV genotypes for all glandular intraepithelial neoplastic lesions and cancers, whereas squamous lesions did not show this pattern. 80.3% of cervical cancers were associated with genotypes covered by HPV16/18 vaccines and 89.6% with genotypes covered by 9-valent vaccination.

Prevalence of human papillomavirus in Wenzhou, China: a cross-sectional study of 127 938 outpatient women

OBJECTIVES

Understanding the prevalence and genotype distribution of human papillomavirus (HPV) is critical for managing HPV vaccination programmes. Using a retrospective cross-sectional study, we examined long-term trends of HPV prevalence in Wenzhou, a coastal city in China.

SETTING AND PARTICIPANTS

Cervical exfoliated cells were collected from 127 938 women who underwent cervical cancer screening at the gynaecology outpatient clinic of Wenzhou People's Hospital from January 2011 to December 2020. HPV infections and genotypes were determined. The HPV genotypes were 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 6, 11, 42, 43, 44 and 81. From 2011 to 2014, we used PCR and inflow hybridisation for typing assays. In 2015-2020, HPV genotyping was performed on the collected specimens using PCR and flow fluorescence hybridisation.

RESULTS

The overall prevalence of HPV infection was 17.8%. Across age groups, the prevalence fluctuated between 15.9% and 37.4%, with two peaks in the ≤20 and ≥51 year groups. The annual prevalence varied between 12.2% and 28.8%, with a significant decrease in 2011-2018 and a flat trend in 2018-2020. The five most common HPV genotypes were HPV52 (3.6%), 16 (3.0%), 58 (2.5%), 53 (1.9%) and 81 (1.3%). The prevalence of high-risk gene subtypes HPV56, 59 and the low-risk subtype HPV44 increased. Single HPV infection was the most common.

CONCLUSION

The prevalence of HPV in Wenzhou is low to mid-range; however, the high-risk genetic subtypes HPV56 and 59 have increased in recent years. We need to promote HPV vaccination and increase education regarding safer sex.

Evaluating the Feasibility of Machine-Learning-Based Predictive Models for Precancerous Cervical Lesions in Patients Referred for Colposcopy

Background: Colposcopy plays an essential role in cervical cancer control, but its performance remains unsatisfactory. This study evaluates the feasibility of machine learning (ML) models for predicting high-grade squamous intraepithelial lesions or worse (HSIL+) in patients referred for colposcopy by combining colposcopic findings with demographic and screening results. Methods: In total, 7485 patients who underwent colposcopy examination in seven hospitals in mainland China were used to train, internally validate, and externally validate six commonly used ML models, including logistic regression, decision tree, naïve bayes, support vector machine, random forest, and extreme gradient boosting. Nine variables, including age, gravidity, parity, menopause status, cytological results, high-risk human papillomavirus (HR-HPV) infection type, HR-HPV multi-infection, transformation zone (TZ) type, and colposcopic impression, were used for model construction. Results: Colposcopic impression, HR-HPV results, and cytology results were the top three variables that determined model performance among all included variables. In the internal validation set, six ML models that integrated demographics, screening results, and colposcopic impression showed significant improvements in the area under the curve (AUC) (0.067 to 0.099) and sensitivity (11.55% to 14.88%) compared with colposcopists. Greater increases in AUC (0.087 to 0.119) and sensitivity (17.17% to 22.08%) were observed in the six models with the external validation set. Conclusions: By incorporating demographics, screening results, and colposcopic impressions, ML improved the AUC and sensitivity for detecting HSIL+ in patients referred for colposcopy. Such models could transform the subjective experience into objective judgments to help clinicians make decisions at the time of colposcopy examinations.

Prevalence of multiple human papillomavirus infections and association with cervical lesions among outpatients in Fujian, China: A cross-sectional study

Multiple human papillomavirus (HPV) infections are common, but their impact on cervical lesions remains controversial. A total of 6225 female patients who underwent colposcopies/conization following abnormal cervical cancer screening results were included in the study. The final pathological diagnosis was determined by the most severe pathological grade among the cervical biopsy, endocervical curettage, and conization. Univariate and multivariate logistic regression analyses were used to investigate the association between multiple HPV infections and cervical lesions, adjusting for age, HPV genotype, gravidity and parity. In total, 33.3% (n = 2076) of the study population was infected with multiple HPV genotypes. Multiple HPV infections were more prevalent in patients younger than 25 years and older than 55 years, with the rate of multiple HPV infections at 52.8% and 44.3%, respectively. HPV16\52\18\58 are the most common HPV genotypes and usually appear as a single infection. Compared to single HR-HPV infection, multiple HR-HPV infections do not increase the risk of HSIL+, while single HR-HPV coinfected with LR-HPV seems to reduce the risk of HSIL+ (odds ratio = 0.515, confidence interval: 0.370-0.719, p < 0.001). Multiple HR-HPV infections cannot be risk-stratified for triage of HR-HPV-positive women.

Evaluation of the characteristics of multiple human papillomavirus (HPV) infections identified using the BD Onclarity HPV assay and comparison with those of single HPV infection

Background

Human papillomavirus (HPV) infection is a major cause of cervical cancer and associated precursor lesions. Multiple HPV genotype infections have been reported. However, their clinicopathological characteristics still remain elusive.

Methods

For this study, 814 consecutive patients who had undergone colposcopy and HPV genotyping test using BD Onclarity HPV assay were retrospectively selected. Clinicopathological parameters of multiple HPV infections were compared with those of single HPV infection.

Results

Multiple HPV infections were found in 110 out of 814 cases (13.5%). Multiple HPV infections were associated with a significantly higher incidence of high-grade intraepithelial lesions (HSILs) compared with single HPV infection. Other high-risk HPV genotypes, in addition to HPV 16, were found more frequently in the multiple HPV infections group; these included HPV 51, 52, 33/58, 56/59/66, and 35/39/68. No specific coinfection pattern was not identified. Additionally, the number of HPV genotypes in multiple HPV infections was not associated with the progression to HSIL or squamous cell carcinoma.

Conclusions

Multiple HPV infections have distinct clinicopathological characteristics (compared with single HPV infection). As their biological behavior is uncertain, close and frequent follow-up is warranted.

Meaning of the Decreased HPV Normalized Viral Load Marker in Clinical Evolution of Women with HPV Infection

(1) Background: HPV infection can progress over the years to become cervical cancer. In this study, genotype and a normalized viral load were evaluated as surrogate markers of progression to cancer. (2) Methods: A total of 558 endocervical swabs were collected from 120 women (mean, 40.1 ± 11.8 years old). Seventy-eight of the women underwent clinical intervention (CI) to clear the infection during the course of the study, while forty-two did not (NCI). Normalized viral load (NVL) was calculated using a COBAS 4800 system. The INNOLIPA genotyping system was used to classify HPV which was neither type 16 or 18. (3) Results: The mean age of CI women was 41.1 ± 11.4 (22–68) years old and that of the NCI group was 37.7 ± 12.13 (23–65) (p: 0.104). HPV16 was present in 11 (25%) NCI and 30 (35.2%) CI patients, HPVα9non16 in 20 (45%) NCI and 34 (40%) CI, and HPVnonα9 in 13 (29.5%) NCI and 21 (24.7%) CI (p = 0.48). In NCI women there was an average NVL decrease of 0.95 log after two years and a further decrease of 2.35 log at the end of the third year. At the end of the study, 34 (80%) of the NCI patients were clear of HPV. However, NVL of CI women remained at around 5 log until intervention (p < 0.001). (4) Conclusions: Viral load decreased in NCI women at follow-up in the second year. In contrast, in CI women, their viral load did not fall over the follow-up period. This work thus demonstrates that a reduction in normalized viral load was associated with good evolution.

Classification of cervical biopsy free-text diagnoses through linear-classifier based natural language processing

Routine cervical cancer screening has significantly decreased the incidence and mortality of cervical cancer. As selection of proper screening modalities depends on well-validated clinical decision algorithms, retrospective review correlating cytology and HPV test results with cervical biopsy diagnosis is essential for validating and revising these algorithms to changing technologies, demographics, and optimal clinical practices. However, manual categorization of the free-text biopsy diagnosis into discrete categories is extremely laborious due to the overwhelming number of specimens, which may lead to significant error and bias. Advances in machine learning and natural language processing (NLP), particularly over the last decade, have led to significant accomplishments and impressive performance in computer-based classification tasks. In this work, we apply an efficient version of an NLP framework, FastText™, to an annotated cervical biopsy dataset to create a supervised classifier that can assign accurate biopsy categories to free-text biopsy interpretations with high concordance to manually annotated data (>99.6%). We present cases where the machine-learning classifier disagrees with previous annotations and examine these discrepant cases after referee review by an expert pathologist. We also show that the classifier is robust on an untrained external dataset, achieving a concordance of 97.7%. In conclusion, we demonstrate a useful application of NLP to a real-world pathology classification task and highlight the benefits and limitations of this approach.

Extensive HPV Genotyping Reveals High Association between Multiple Infections and Cervical Lesions in Chinese Women

Objective

The relationship between human papillomavirus (HPV) and cervical lesions has been extensively elucidated, but infection with multiple genotypes is less investigated due to methodology limitations. In the current study, with a method of genotyping 21 HPVs in a routine cervical screening population, we aimed to investigate the prevalence and diversity of HPV infections in Chinese women and further evaluate the impact of multiple infections of HPV on cervical lesion progression.

Methods

Totally, 73,596 patients who underwent 21-genotype HPV testing from January 2018 to April 2019 were retrieved from the database of the Department of Pathology, Obstetrics and Gynecology Hospital of Fudan University. HPV testing was performed by real-time PCR assay, including 13 high-risk HPVs (hrHPV), 5 potential hrHPVs, and 3 low-risk HPVs.

Results

Of the 17,079 (infection rate, 23.2%) hrHPV- or potential hrHPV- (hr/phrHPV-) positive cases, 26.3% had multiple infections. Women younger than 25 and older than 65 were more prone to multiple infections. Of the hr/phrHPV-positive cases involving cervical intraepithelial neoplasia (CIN) 2 or worse (CIN2+), HPV73, 53, and 66 (=59) were the top three genotypes most likely to be included in multiple infections, while HPV16, 18, and 58 were the 3 least. Patients with single infection of HPV16 had higher incidences of CIN2+ than those with multiple-infection pattern (P < 0.001), indicating that mixing with other genotypes alleviated pathogenicity. The infection of HPV52, 53, 56, 51, 39, 66, 59, 68, and 35 showed an opposite pattern, indicating that they were less likely to be pathogens individually. All other types showed no significant differences, indicating the capability of pathogenesis independently. HPV26 showed a higher OR for CIN2+ than most traditional hrHPV genotypes. The vial load and the percentage of HPV16 showed positive correlation with the severity of cervical lesions.

Conclusion

Extensive genotyping identified 3 most frequent genotypes, HPV16, 52, and 58, in CIN2+ of Chinese population. HPV16 mixing with other genotypes alleviated its pathogenicity. The vial load and the percentage of HPV16 were positively correlated with the severity of cervical lesions. HPV26 may be considered as a hrHPV, which needs to be evaluated and confirmed by more cases.

High Prevalence of Non-Vaccinated Oncogenic Human Papillomavirus Genotypes in High-Grade Squamous Intraepithelial Lesions of the Cervix: Thought-Provoking Results of a Detailed HPV Genotype Analysis

Identification of HPV infection is usually performed on cytological specimens, despite the often transient virus types. HPV profile analysis of pathologically confirmed lesions can also be performed on formalin-fixed paraffin-embedded (FFPE) cone samples and should be taken as standard during follow-up. We compared HPV profiles of cytological and FFPE specimens of women diagnosed with HSIL. Archived PAP smears and FFPE cones from 49 patients were processed. For genotyping, the HPV Direct Flow CHIP test was used. All samples were positive. HPV profile agreement of the two sample types was 84.16–100%. Mono-infections occurred in 12.24% and 61.22% in PAP smears and FFPE specimens, respectively; while multi-infections were detected in 87.76% and 38.78%, respectively. The most abundant genotypes were HPVs 16, 31, and 51/33. Of all infections, 56.25% and 64.93% were caused by nonavalent vaccinated type (VT) HPVs; while 50.69% and 38.96% belonged to non-nonavalent VT HPVs, in PAP smears and FFPE specimens, respectively. Our results confirmed the importance of HPV genotyping of FFPE cone samples. We also confirmed a remarkable presence of non-vaccinated HPV types in HSIL cases indicating the importance of vaccine development.

The clinical utility of extended high-risk HPV genotyping in risk-stratifying women with L-SIL cytology: A retrospective study of 8726 cases

BACKGROUND

The value of extended high-risk human papillomavirus (hrHPV) genotyping for cervical cancer screening in women with low-grade squamous intraepithelial lesion (L-SIL) cytology has been recognized, but few studies have investigated this.

METHODS

Women with L-SIL Papanicolaou results who underwent human papillomavirus (HPV) genotyping between October 2017 and October 2021 at the Obstetrics and Gynecology Hospital of Fudan University were identified. Their HPV results were correlated with immediate histopathologic follow-up findings.

RESULTS

In total, 8726 women who had L-SIL cytology and extended HPV genotyping results were analyzed. The overall hrHPV-positive rate was 84% in women with L-SIL, and the most prevalent hrHPV genotypes were type 52 (HPV52) (20.7%), HPV53 (15.7%), and HPV16 (14.3%). Single and multiple coinfections of hrHPV genotypes were detected in 57.2% and 42.8% of women with positive hrHPV results, respectively. Cervical intraepithelial neoplasia grade ≥2 (CIN2+) was identified in 8.5% of hrHPV-positive women. The CIN2+ detection rate in women who had multiple hrHPV infections (9.9%) was significantly higher than the rate in those who had infection with a single HPV type (7.2%). The top 5 CIN2+-associated HPV infections were HPV16 (25.2%), HPV82 (17.8%), HPV33 (16.3%), HPV31 (14.6%), and HPV26 (13.8%). For the composite group with HPV types HPV16, HPV26, HPV82, HPV31, HPV18, HPV33, HPV58, HPV35, HPV52, and HPV51, the risk of CIN2+ was 11.5% and represented 97.1% of all CIN2+ in biopsied, hrHPV-positive patients. The composite group of 8 remaining HPV genotypes (HPV39, HPV45, HPV53, HPV56, HPV59, HPV66, HPV68, and HPV73) was identified in 29.7% of hrHPV-positive patients, and the risk of CIN2+ for this composite group was similar to the risk of CIN2+ in hrHPV-negative patients.

CONCLUSIONS

This large retrospective study in a predominantly unvaccinated cohort demonstrated that extended hrHPV genotyping improves genotype-specific risk stratification in women with L-SIL.

Prevalence characteristics of cervical human papillomavirus genotypes in Nanning, China: A 10-year survey of 77,756 women from one medical center

OBJECTIVES

The prevalence of human papillomavirus (HPV) infection and HPV genotypes varies in different regions. However, there is little data on HPV prevalence and genotyping in Guangxi Province, South China. This study conducted a 10-year survey in a health center, to estimate the prevalence characteristics of HPV genotypes.

METHODS

By using polymerase chain reaction (PCR) amplification and nucleic acid molecular hybridization, the HPV genotypes were detected from 77,756 females who were patients of the Department of Obstetrics and Gynecology and those who visited the Health Management Center for a physical examination between August 2011 and November 2020. The prevalence, genotypes, age-related HPV infections, as well as chronological change of HPV prevalence, and the HPV genotype distribution were analyzed.

RESULTS

The overall prevalence of HPV infection was 21.14% (16,439/77,756). The HPV infection rate differed significantly between the patients of the Department of Obstetrics and Gynecology and the women who underwent a physical examination (22.98% vs. 9.88%, p < 0.05). The prevalence rates of high-risk HPV, low-risk HPV, mixed HPV (mixed high-risk, and low-risk HPV infection), and multiple HPV infections were 18.96% (14,739/77,756), 4.09% (3178/77,756), 1.90% (1478/77,756), and 4.94% (3838/77,756), respectively. The most prevalent genotypes were HPV 52, 16, and 58. The age-associated HPV prevalence showed bimodal curves, with the first peak at <25 years and the second peak at >56 years.

CONCLUSIONS

This study provides baseline data on the HPV prevalence in the general female population of Nanning, Guangxi Province. Women <25 and >56 years old faced the greatest threat of HPV infection, and HPV 52, 16, and 58 were the most common genotypes.

HPV Sequencing Facilitates Ultrasensitive Detection of HPV Circulating Tumor DNA

PURPOSE

Human papillomavirus (HPV) DNA offers a convenient circulating tumor DNA (ctDNA) marker for HPV-associated malignancies, but current methods, such as digital PCR (dPCR), provide insufficient accuracy for clinical applications in patients with low disease burden. We asked whether a next-generation sequencing approach, HPV sequencing (HPV-seq), could provide quantitative and qualitative assessment of HPV ctDNA in low disease burden settings.

EXPERIMENTAL DESIGN

We conducted preclinical technical validation studies on HPV-seq and applied it retrospectively to a prospective multicenter cohort of patients with locally advanced cervix cancer (NCT02388698) and a cohort of patients with oropharynx cancer. HPV-seq results were compared with dPCR. The primary outcome was progression-free survival (PFS) according to end-of-treatment HPV ctDNA detectability.

RESULTS

HPV-seq achieved reproducible detection of HPV DNA at levels less than 0.6 copies in cell line data. HPV-seq and dPCR results for patients were highly correlated (R ² = 0.95, P = 1.9 × 10^-29) with HPV-seq detecting ctDNA at levels down to 0.03 copies/mL plasma in dPCR-negative posttreatment samples. Detectable HPV ctDNA at end-of-treatment was associated with inferior PFS with 100% sensitivity and 67% specificity for recurrence. Accurate HPV genotyping was successful from 100% of pretreatment samples. HPV ctDNA fragment sizes were consistently shorter than non-cancer-derived cell-free DNA (cfDNA) fragments, and stereotyped cfDNA fragmentomic patterns were observed across HPV genomes.

CONCLUSIONS

HPV-seq is a quantitative method for ctDNA detection that outperforms dPCR and reveals qualitative information about ctDNA. Our findings in this proof-of-principle study could have implications for treatment monitoring of disease burden in HPV-related cancers. Future prospective studies are needed to confirm that patients with undetectable HPV ctDNA following chemoradiotherapy have exceptionally high cure rates.

Patterns of multiple human papillomavirus clearance during 5-aminolevulinic acid-based photodynamic therapy in patients with genital warts

BACKGROUND

Multiple human papillomavirus infections are commonly encountered in genital warts. Infection can be eliminated using 5-aminolevulinic acid-based photodynamic therapy. The aim of this study was to identify the preponderant genotypes and patterns of human papillomavirus co-infection clearance during photodynamic therapy in patients with genital warts.

METHODS

We conducted a retrospective study between January 2020 and February 2021 at two hospitals in Guangzhou, China. Human papillomavirus typing and quantitative detection were performed before starting treatment and after each session of photodynamic therapy.

RESULTS

A total of 97 patients participated in the study. Co-infections with low-risk and high-risk types were common in genital warts. Types 6 was the most common type detected, followed by types 52, 11, 58, 51 and 56. Patients with multiple infections were more likely to have high-risk human papillomavirus infection. The viral load of high-risk human papillomavirus before treatment was significantly lower than that of low-risk human papillomavirus, and decreased faster during therapy. In addition, high-risk types were cleared more readily than low-risk types, and 51.4% of high-risk types were eliminated after three rounds of therapy. A transient increase in viral load, especially low-risk types, was observed after two sessions of therapy.

CONCLUSIONS

Low-risk human papillomavirus was preponderant in patients co-infected with low-risk and high-risk types. Photodynamic therapy effectively eliminated multiple human papillomavirus infections. The response to photodynamic therapy was mainly determined by the low-risk types in patients infected with combinations of low-risk and high-risk types.

Multiple Human Papilloma Virus (HPV) Infections Are Associated with HSIL and Persistent HPV Infection Status in Korean Patients

Infections with multiple human papilloma virus (HPV) types have been reported, but their role in cervical carcinogenesis has not been fully elucidated. In this study, 236 cases with multiple HPV infection were examined and compared to 180 cases with single HPV infection. HPV genotyping was performed with cervico-vaginal swab specimens using multiplex (real-time) polymerase chain reaction (PCR). In multiple HPV infection, the most prevalent HPV genotype was HPV 53, followed by HPV 16, 58, 52, and 68. HPV 33, 35, 39, 51, 52, 53, 58, and 68 were high-risk-HPV (HR-HPV) genotypes that were more frequently detected in multiple HPV infection compared to that in single HPV infection. The association between multiple HPV infection and high-grade SIL (HSIL) was significantly stronger compared to that of single HPV infection and HSIL (p = 0.002). Patients with multiple HPV infection displayed persistent and longer duration of the HPV infection compared to patients with single HPV infection. Multiple HPV infections have distinct clinicopathologic characteristics. Since it is associated with persistent HPV infection, HSIL, and different HR-HPV strains in contrast to single HPV infection, the presence of multiple HPV infection should be reported; close follow up is warranted.

IL-6 and IL-10 in the serum and exfoliated cervical cells of patients infected with high-risk human papillomavirus

Persistent infection by high-risk human papillomavirus (HR-HPV) is the main cause of cervical cancer and its precursor lesions. While some cytokines help immune cells in virus clearance, others contribute to the persistence of infection and neoplastic progression. Here, the levels of interferon (IFN)-γ, tumor necrosis factor (TNF)-α, interleukin (IL)-10, IL-6, IL-4, and IL-2 were quantified in the serum and exfoliated cervical cells (ECCs) of patients with HR-HPV, and the presence of IL-6⁺ cells was investigated in uterine cervix biopsies. Cytokine levels in the serum and ECCs of 26 HR-HPV DNA-positive patients and 18 HPV DNA-negative patients were measured using flow cytometry. Fifteen uterine cervix biopsy samples embedded in paraffin were subjected to immunohistochemical analysis for the detection of IL-6⁺ cells. HR-HPV-positive patients showed increased IL-6 and IL-10 in the ECCs and serum, respectively. Compared with HPV DNA-positive patients, HPV DNA-negative patients had higher levels of IL-6 in ECCs. Patients with multiple infections of HPV had higher levels of IL-6 in their ECCs than those with a single infection. Immunostaining of uterine cervix biopsy samples revealed no differences in IL-6 expression between the different classes of histopathological lesions. However, differences were observed in the expression levels of IL-6 and IL-10 at the systemic and local levels in HR-HPV-positive patients without cervical lesions. Considering the functional characteristics of these cytokines, it can be inferred that such patients are prone to persistent HPV infection.

Prevalence and distribution of human papillomavirus genotypes in cervical intraepithelial neoplasia in China: a meta-analysis

BACKGROUND AND AIM

Data on type-specific human papillomavirus (HPV) are needed to investigate HPV-based screening tests and HPV vaccines. However, Chinese relevant data are insufficient. Therefore, this meta-analysis aimed to summarize and demonstrate the prevalence and distribution of HPV genotypes in cervical intraepithelial neoplasia (CIN) and compensate for the shortage of HPV vaccines in China.

METHODS

The Medline, Embase, and the Cochrane Library databases, as well as references cited in the selected studies, were systematically searched for studies investigating the prevalence and distribution of HPV genotypes between January 2000 and April 2019 in China.

RESULTS

A total of 8 studies were identified, which comprised 2950 patients with CIN1 and 5393 with CIN2/3. The overall HPV infection rate was 84.37%. The HPV infection rate was significantly higher in the CIN2/3 group (87.00%) than in the CIN1 group (79.56%) (χ2 = 80.095, P < 0.001). The most common HPV types in CIN1 in order of decreasing prevalence were as follows: HPV52 (20.31%), HPV16 (16.81%), HPV58 (14.44%), HPV18 (6.44%), and HPV53 (5.76%). However, in the CIN2/3 group, HPV16 (45.69%) was the predominant type, followed by HPV58 (15.50%), HPV52 (11.74%), HPV33 (9.35%), and HPV31 (4.34%).

CONCLUSIONS

This study suggested that HPV16, HPV52, and HPV58 were the top three types of CIN in China. The findings might provide a reference for future HPV-based cervical cancer screening tests, treatment of HPV infection, and application of HPV vaccines in China.

Synergistic Carcinogenesis of HPV18 and MNNG in Het-1A Cells through p62-KEAP1-NRF2 and PI3K/AKT/mTOR Pathway

N-methyl-N´-nitro-N-nitrosoguanidine is a clear carcinogen, increasing evidence that indicates an etiological role of human papillomavirus in esophageal carcinoma. Studies have reported the synergistic effect on environmental carcinogens and viruses in recent years. On the basis of establishing the malignant transformation model of Het-1A cells induced by synergistic of HPV18 and MNNG, this study was to explore the synergistic carcinogenesis of MNNG and HPV. Our research indicated that HPV&MNNG led to a significant increase in the protein-expression levels of c-Myc, cyclinD1, BCL-2, BAX, E-cadherin, N-cadherin, mTOR, LC3II, and p62, with concomitant decreases in p21 and LC3I. HPV18 and MNNG induced accumulation of p62 and its interaction with KEAP1, which promoted NRF2 nuclear translocation. p62 loss prevents growth and increases autophagy of malignant cells by activating KEAP1/NRF2-dependent antioxidative response. In addition, PI3K and p-AKT were stimulated by HPV&MNNG, and PI3K/AKT/mTOR is positively associated with cell proliferation, migration, invasion, and autophagy during malignant transformation. Taken together, MNNG&HPV regulates autophagy and further accelerates cell appreciation by activating the p62/KEAP1/NRF2 and PI3K/AKT/mTOR pathway. MNNG&HPV may improve Het-1A cell autophagy to contribute to excessive cell proliferation, reduced apoptosis, and protection from oxidative damage, thus accelerating the process of cell malignant transformation and leading to cancerous cells.

Correlation between multi-type human papillomavirus infections and viral loads and the cervical pathological grade

Objective

To investigate the relationship between single/multiple HPV infections and cervical lesions, and the correlation between viral load and the degree of cervical lesions.

Methods

A total of 27 284 patients who underwent testing for HPV were retrospectively screened and 3728 women were enrolled who tested positive for HPV when examined by liquid‐based ThinPrep cervical smear cytology test and diagnosed by histopathology at the Shanxi Provincial People's Hospital between May 2017 and March 2019. The genotype and viral load of HPV were determined by fluorescence quantitative polymerase chain reaction. Based on the pathological grade, the cervical lesions were stratified into three groups: chronic cervicitis/cervical intraepithelial neoplasia (CIN) I; CIN II/CIN III; and cervical cancer.

Results

There were significant intergroup differences in the distribution of single and multiple HPV infections. There was a positive correlation between the viral load and cervical pathological grade when the infections were caused by HPV 16, 18, 31, 33, 51, 52, 53, and 58.

Conclusion

Multi‐type HPV infections are more likely to aggravate the degree of cervical lesions than single‐type infections. The HPV type‐dependent viral load is associated with the cervical pathological grade.

Multiple HPV infections are more likely to aggravate the cervical pathological grade. The HPV viral load is type‐dependent with regard to the cervical pathological grade.

Human Papillomavirus in the region of La Ribera-Valencia: Present and future

OBJECTIVE

Human Papillomavirus (HPV) is the main cause of cervical cancer. The etiology and effects derived from this infection are set by molecular techniques and cytological diagnosis, respectively. In the present study, data obtained by an opportunist screening of cervical cancer in La Ribera region are revised and related statistically.

METHODS

Data considering different variables such as age, degree of lesion, HPV type detected and number of virus in coinfection were collected from 1,372 HPV positive cytology samples. HPV detection was carried out by means of three molecular techniques and the degree of lesion was analyzed by cytological diagnosis (Bethesda). In order to determine the relationship between different selected variables, several statistical analyses were performed.

RESULTS

Only degree of lesion variable showed a direct relationship with the rest of variables, increasing with aging process, viral oncogenicity, presence of at least one high-risk virus and with the fact of being mono-infected. The probability of presenting a higher-level degree of lesion multiplied by 28.4 when high-risk HPV was detected in mono-infection.

CONCLUSIONS

HPV molecular detection is the most suitable technique to perform a cervix cancer primary screening for the management of women with negative cytological diagnose. The number of detected types is statistically related to the degree of lesion. The establishment of a properly regulated screening to identify HPV infection, and therefore, of cervical cancer risk, is essential.

Multiple HPV Infections and Viral Load Association in Persistent Cervical Lesions in Mexican Women

Persistent high-risk human papillomavirus (HR-HPV) infections play a major role in the development of invasive cervical cancer (CC), and screening for such infections is in many countries the primary method of detecting and preventing CC. HPV typing can be used for triage and risk stratification of women with atypical squamous cells of undetermined significance (ASC-US)/low-grade cervical lesions (LSIL), though the current clinical practice in Mexico is to diagnose CC or its preceding conditions mainly via histology and HR-HPV detection. Additional information regarding these HPV infections, such as viral load and co-infecting agents, might also be useful for diagnosing, predicting, and evaluating the possible consequences of the infection and of its prevention by vaccination. The goal of this follow-up hospital case study was to determine if HPV types, multiple HPV infections, and viral loads were associated with infection persistence and the cervical lesion grade. A total of 294 cervical cytology samples drawn from patients with gynecological alterations were used in this study. HPV types were identified by real-time PCR DNA analysis. A subset of HPV-positive patients was reevaluated to identify persistent infections. We identified HPV types 16, 18, and 39 as the most prevalent. One hundred five of the patients (59%) were infected with more than one type of HPV. The types of HPV associated with multiple HPV infections were 16, 18, and 39. In the follow-up samples, 38% of patients had not cleared the initially detected HPV infection, and these were considered persistent. We found here an association between multiple HPV infections and high viral loads with and infection persistence. Our findings suggest there are benefits in ascertaining viral load and multiple HPV infections status of HR-HPV infections for predicting the risk of persistence, a requirement for developing CC. These findings contribute to our understanding of HPV epidemiology and may allow screening programs to better assess the cancer-developing risks associated with individual HR-HPV infections.

How the Cervical Microbiota Contributes to Cervical Cancer Risk in Sub-Saharan Africa

Despite ongoing efforts, sub-Saharan Africa faces a higher cervical cancer burden than anywhere else in the world. Besides HPV infection, definitive factors of cervical cancer are still unclear. Particular states of the cervicovaginal microbiota and viral infections are associated with increased cervical cancer risk. Notably, HIV infection, which is prevalent in sub-Saharan Africa, greatly increases risk of cervicovaginal dysbiosis and cervical cancer. To better understand and address cervical cancer in sub-Saharan Africa, a better knowledge of the regional cervicovaginal microbiome is required This review establishes current knowledge of HPV, HIV, cervicovaginal infections, and the cervicovaginal microbiota in sub-Saharan Africa. Because population statistics are not available for the region, estimates are derived from smaller cohort studies. Microbiota associated with cervical inflammation have been found to be especially prevalent in sub-Saharan Africa, and to associate with increased cervical cancer risk. In addition to high prevalence and diversity of HIV and HPV, intracellular bacterial infections such as Chlamydia, Gonorrhea, and Mycoplasma hominis are much more common than in regions with a low burden of cervical cancer. This suggests the prevalence of cervical cancer in sub-Saharan Africa may be partially attributed to increased cervical inflammation resulting from higher likelihood of cervical infection and/or microbial dysbiosis.

Prevalence of human papillomavirus genotypes in cervical cancer in Maiduguri, Nigeria

INTRODUCTION

Cervical cancer is the commonest gynaecological malignancy and the second most common cancer among women worldwide. Several epidemiological, clinical and molecular studies have strongly implicated oncogenic high-risk human papillomavirus infection in the aetiopathogenesis of cervical cancer. The objectives of this study were to determine the cervical HPV prevalence and genotype distribution in cervical cancer in Maiduguri, Nigeria.

METHODS

This was a descriptive and retrospective study. Sixty-three archived paraffin-embedded tissue blocks with confirmed diagnoses of cervical cancer during the study period (2013-2015) were retrieved and examined. The procedure included deparaffinization of tissue samples, DNA extraction, PCR, gel electrophoresis, and HPV genotyping by reverse hybridization line probe assay.

RESULTS

Sixty-three cervical cancer cases were subjected to genomic DNA extraction and HPV-DNA detection by PCR. Fifty-eight samples showed PCR positivity while 5 samples were PCR negative. HPV-specific DNA was detected in 44 of the 58 PCR-positive samples and thus the prevalence was 69.8%. Ten different high-risk HPV genotypes were detected. Both single and multiple high-risk HPV infections were observed. The most prevalent type of the human papillomavirus detected was HPV16.

CONCLUSION

HPV-DNA was prevalent in majority of the examined cervical cancer tissues and that HPV16, HPV18, HPV45, HPV51 and HPV52 were the predominant HPVs detected in both single and multiple HPV infections. The results of this study and further studies will provide more detailed information about HPV and may contribute significantly to the prevention of cervical cancer through primary high-risk HPV testing and HPV vaccination against the oncogenic viruses.

HPV status in women with high-grade dysplasia on cervical biopsy and preceding negative HPV tests

INTRODUCTION

A considerable number of patients with high-grade cervical lesions have undergone preceding human papillomavirus (HPV) tests with negative results. In the present study, we attempted to elucidate the factors potentially contributing to the findings by testing biopsied samples from these patients.

MATERIALS AND METHODS

Of the 1654 women with HPV testing and follow-up cervicovaginal biopsies from March 1, 2013 to June 30, 2014, 21 of 252 women (8.3%) with biopsy-confirmed high-grade squamous intraepithelial lesion (HSIL) or worse had had negative results from preceding high-risk (hr)HPV tests. The corresponding paraffin blocks were tested for HPV using the Cobas 4800 system, a DNA microarray against 40 HPV genotypes, and DNA sequencing.

RESULTS

HPV was detected in 20 (95%) of the 21 biopsies with HSIL or worse, including HPV16/18 in 4, non-16/18 hrHPV in 10, and non-hrHPV in 6. HPV59 and HPV45 were 2.2 times more frequently detected than HPV16/18 in these samples. One sample was negative for all 3 tests (5%).

CONCLUSIONS

Our study has demonstrated that 8.3% of women with biopsy-confirmed HSIL or worse had preceding test results that were negative for hrHPV. The vast majority of the biopsied samples had detectable HPV, primarily hrHPV genotypes (67%) with HPV59 and HPV45 predominance. This genotypic prevalence pattern was markedly different from those reported in the general population. Non-hrHPV genotypes contributed to 29% of the cases, and HPV-negative cases were rare. In addition to the limited Cobas testing panel and rare possible HPV-negative HSIL or worse, other possible contributing factors to the discrepancy include cytologic sampling, interference material, technical errors, and reduced L1 gene expression in high-grade lesions.

Relationship between the Cervical Microbiome, HIV Status, and Precancerous Lesions

Nearly all cervical cancers are causally associated with human papillomavirus (HPV). The burden of HPV-associated dysplasias in sub-Saharan Africa is influenced by HIV. To investigate the role of the bacterial microbiome in cervical dysplasia, cytobrush samples were collected directly from cervical lesions of 144 Tanzanian women. The V4 hypervariable region of the 16S rRNA gene was amplified and deep sequenced. Alpha diversity metrics (Chao1, PD whole tree, and operational taxonomic unit [OTU] estimates) displayed significantly higher bacterial richness in HIV-positive patients (P = 0.01) than in HIV-negative patients. In HIV-positive patients, there was higher bacterial richness in patients with high-grade squamous intraepithelial lesions (HSIL) (P = 0.13) than those without lesions. The most abundant OTUs associated with high-grade squamous intraepithelial lesions were Mycoplasmatales, Pseudomonadales, and Staphylococcus We suggest that a chronic mycoplasma infection of the cervix may contribute to HPV-dependent dysplasia by sustained inflammatory signals.IMPORTANCE HPV is known to be the causal agent in the majority of cervical cancers. However, the role of the cervical bacterial microbiome in cervical cancer is not clear. To investigate that possibility, we collected cervical cytobrush samples from 144 Tanzanian women and performed deep sequencing of bacterial 16S rRNA genes. We found that HIV-positive patients had greater bacterial richness (P = 0.01) than HIV-negative patients. We also observed that women with high-grade squamous intraepithelial lesions (HSIL) had greater cervical bacterial diversity than women with cytologically normal cervices. Data from our precise sampling of cervical lesions leads us to propose that Mycoplasma contributes to a cervical microbiome status that promotes HPV-related cervical lesions. These results suggest a greater influence of the bacterial microbiota on the outcome of HPV infection than previously thought.

The development of simultaneous measurement of viral load and physical status for human papillomavirus 16 and 18 co-infection using multiplex quantitative polymerase chain reaction

Persistent infection with human papillomavirus (HPV) type 16 and 18 is known to be a major risk factor for cervical cancer. Increased prevalence of co-infection with these high-risk types has been observed in pre-cancerous and cancerous tissues. The determination of physical status and copy numbers of viruses is therefore useful in clinical settings. A simple multiplex quantitative polymerase chain reaction (qPCR) for HPV16/HPV18 co-infection in one tube reaction was established in the present study using TaqMan^®-based PCR for E2 and E6 viral DNA. The detection range was up to 10⁶ copies with 100% specificity and high precision (CV of cycle time <0.5%). The analytical accuracy and robustness were verified by competitive assay using an unequal mixture of HPV16/HPV18 DNA. No significant effect was demonstrated when compared with the simplex qPCR. The detection of physical status was evaluated in cervical samples, including 5 pre-cancerous and 15 cancerous samples. No significant difference was observed between simplex and multiplex qPCR (P=0.372). In conclusion, the developed multiplex qPCR method successfully demonstrated the viral status of the common HPV types in one tube. This assay will facilitate viral assessment and monitoring of cervical cancer associated with HPV16 and HPV18 co-infection.

Screening of Cervical Cancer with Self-Collected Cervical Samples and Next-Generation Sequencing

Cervical cancer is the second leading cause of death in female genital malignancies. Persistent infection with high-risk HPV is closely related to cervical intraepithelial neoplasia (CIN). Wide-scale HPV screening has already been implemented in developed countries. However, with advances in HPV testing methods, there are presently no better methods for the management of the increasing number of high-risk HPV-positive women except for periodic review. In order to improve screening coverage and achieve better triage of those women, we present current HPV testing methods with self-collected cervical samples, focusing on recent advances in next-generation sequencing (NGS) technologies as a promising screening technology for cervical cancer precursors.

Comparison of Four Human Papillomavirus Genotyping Methods: Next-generation Sequencing, INNO-LiPA, Electrochemical DNA Chip, and Nested-PCR

Background

Human papillomavirus (HPV) infection causes cervical cancer, thus necessitating early detection by screening. Rapid and accurate HPV genotyping is crucial both for the assessment of patients with HPV infection and for surveillance studies.

Methods

Fifty-eight cervicovaginal samples were tested for HPV genotypes using four methods in parallel: nested-PCR followed by conventional sequencing, INNO-LiPA, electrochemical DNA chip, and next-generation sequencing (NGS).

Results

Seven HPV genotypes (16, 18, 31, 33, 45, 56, and 58) were identified by all four methods. Nineteen HPV genotypes were detected by NGS, but not by nested-PCR, INNO-LiPA, or electrochemical DNA chip.

Conclusions

Although NGS is relatively expensive and complex, it may serve as a sensitive HPV genotyping method. Because of its highly sensitive detection of multiple HPV genotypes, NGS may serve as an alternative for diagnostic HPV genotyping in certain situations.

Possible Synergistic Interactions Among Multiple HPV Genotypes in Women Suffering from Genital Neoplasia

Objective:

Persistence of HPV infection is the true cause of cervical disorders. It is reported that competition may exist among HPV genotypes for colonization. This survey was designed to establish the multiple HPV genotype status in our community and the probability of multiple HPV infections involvement.

Methods:

All multiple HPV infections were selected for investigation in women suffering from genital infections referred to private laboratories in Tehran, Iran. A total of 160 multi HPV positive specimens from cervical scraping were identified by the HPV genotyping methods, “INNO-LiPA and Geno Array”.

Result:

In present study, HPV 6 (LR), 16 (HR), 53 (pHR), 31 (HR) and 11 (LR) were included in 48.8% of detected infections as the most five dominant genotypes. HPV 16 was detected at the highest rate with genotypes 53, 31 and 52, while HPV 53 appeared linked with HPV 16, 51 and 56 in concurrent infections. It appears that HPV 16 and 53 may have significant tendencies to associate with each other rather than with other genotypes. Analysis of the data revealed there may be some synergistic interactions with a few particular genotypes such as “HPV 53”.

Conclusion:

Multiple HPV genotypes appear more likely to be linked with development of cervical abnormalities especially in patients with genital infections. Since, there are various patterns of dominant HPV genotypes in different regions of world, more investigations of this type should be performed for careHPV programs in individual countries.

Do Infection Patterns of Human Papillomavirus Affect the Cytologic Detection of High-Grade Cervical Lesions on Papanicolaou Tests?

Context.—

Persistent infection with high-risk human papillomavirus (hrHPV) is the major cause of cervical cancer. The effect of HPV infection patterns on cytologic detection of cervical lesions is unknown.

Objective.—

To determine the effect of HPV infection patterns on the sensitivity of cytologic detection of high-grade cervical lesions.

Design.—

Papanicolaou tests from 257 women with biopsy-confirmed, high-grade squamous intraepithelial lesions were analyzed with respect to HPV infection patterns.

Results.—

Among 257 biopsy-confirmed, high-grade squamous intraepithelial lesion cases, the preceding cytology showed 20 cases (8%) were benign; 166 cases (65%) were low-grade cervical lesions, including atypical squamous cell of undetermined significance and low-grade squamous intraepithelial lesions; and 71 cases (28%) were high-grade cervical lesions, including atypical squamous cells cannot rule out high-grade squamous intraepithelial lesion (atypical squamous cell–high), atypical glandular cells, and high-grade squamous intraepithelial lesions. In 236 cases tested for HPV, those exhibiting low-grade cervical lesions on cytology were often associated with coinfections of mixed hrHPV genotypes (31 of 40; 78%) or non-16/18 hrHPV (75/103; 73%), compared with single-genotype infections of HPV-16 (33 of 62; 53%) or HPV-18 (2 of 6; 33%) (P = .001). In contrast, high-grade cervical lesion cytomorphology tended to associate with the single-genotype infection of HPV-16 (20 of 62; 32%) or HPV-18 (3 of 6; 50%), compared with non-16/18 hrHPV (25 of 103; 24%) or multigenotype infection (8 of 40; 20%) (P = .01).

Conclusions.—

Our findings suggest that multigenotypic or non-16/18 hrHPV infections often produce deceptive lower-grade cytomorphology, which could result in underdiagnosis and delay of treatment. The HPV infection patterns may offer unrecognized benefit beyond HPV genotyping and should be considered during clinical risk evaluation of women with lower-grade cytology.

Prevalence characteristics of cervical human papillomavirus (HPV) genotypes in the Taizhou area, China: a cross-sectional study of 37 967 women from the general population

OBJECTIVES

High-risk human papillomaviruses (hrHPVs) are highly prevalent worldwide, and HPV genotypes differ between geographical regions; however, sexually transmitted HPV may lead to cervical carcinogenesis. The objective of this cross-sectional study was to estimate the prevalence characteristics of cervical HPV genotypes in Taizhou, Southeast China.

SETTING AND PARTICIPANTS

A population-based sample of 37 967 eligible women (median age: 41.6; range: 15-90 years) visiting the Taizhou ENZE Medical Center in Taizhou (2012-2016) was analysed. HPV genotyping was performed on the collected specimens using a GP5+/bioGP6+-PCR/MPG assay by Luminex 200, which simultaneously identifies 27 different HPV genotypes and the β-globin gene (internal control).

RESULTS

The overall HPV infection rate was 22.8% in the Taizhou-based population, and the prevalence of high-risk HPV, low-risk HPV and mixed high-risk and low-risk HPV infection was 14.2%, 5.7% and 3.0%, respectively. The most prevalent genotypes were HPV52 (19.7%), 16 (11.9%), 58 (11.5%), 39 (7.2%), 18 (6.6%) and 56 (5.6%). The rate of multiple-type HPV infection was 5.7% in the whole population, and the HPV52+58, HPV16+52 and HPV16+18 mixed genotypes were most common in women with multiple infections. The age-specific HPV prevalence showed a bimodal curve, with a first peak below the age of 21 years (41.6%), followed by a second peak in the age group of 56-60 years (28.5%). Moreover, the HPV infection rate differed significantly between the outpatient and physical examination groups (24.0% vs 19.5%, p<0.0001). Further data comparisons showed that the distribution of HPV genotypes varied markedly between the two groups.

CONCLUSIONS

Data from this study could be valuable for HPV-based cervical cancer screening efforts in certain areas, support the local vaccination programme in the Taizhou region and facilitate future diagnosis and treatment of HPV diseases.