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

Epidemiologic evaluation of human papillomavirus type competition in unvaccinated women from Xiamen, China

Background

Human papillomavirus (HPV) vaccination is expected to reduce the burden of cervical cancer and other HPV-related diseases. However, if competition exists among HPV types, type replacement may occur following the reduction of vaccine-targeted types. Here, we conducted the study to explore natural HPV type competition in unvaccinated women.

Methods

HPV DNA test results from cervical samples collected between January 2013 and July 2023 at Xiamen University's Women and Children's Hospital were analyzed. In cross-sectional study, first-visit HPV genotyping results were used, and logistic regression model was constructed to evaluate interactions between vaccine-targeted and other HPV types. In cohort of women with multiple visits, the risk of acquiring other HPV types was compared between women infected with vaccine-targeted types and those HPV-negative using Cox proportional hazards model.

Results

Among 159,049 women, 19.8% tested HPV-positive, with 5.1% having multiple types. Significant negative associations were observed between HPV-6 and HPV-72 (OR: < 0.01; 95%CI: < 0.01-0.03), HPV-18 and HPV-72 (OR: < 0.01; 95%CI: < 0.01-0.02), HPV-31 and HPV-83 (OR: < 0.01; 95%CI: < 0.01-0.55), HPV-33 and HPV-26 (OR: < 0.01; 95%CI: < 0.01-0.81), HPV-45 and HPV-55 (OR: < 0.01; 95%CI: < 0.01- < 0.01), HPV-56 and HPV-26 (OR: < 0.01; 95%CI: < 0.01-0.09), as well as HPV-59 and HPV-69 (OR: < 0.01; 95%CI: < 0.01-0.68), suggesting potential type competition. However, no type competition pair was found in the cohort study. Conversely, women with vaccine-targeted types had a higher risk of acquiring other types (HR > 1.0).

Conclusions

Our findings suggested that HPV-6 and HPV-72, HPV-18 and HPV-72, HPV-31 and HPV-83, HPV-33 and HPV-26, HPV-45 and HPV-55, HPV-56 and HPV-26, HPV-59 and HPV-69 were potential type competition pairs.

Study on the clinical characteristics, persistent infection capability, and viral load of human papillomavirus type 82 single infection

BACKGROUND

Human papillomavirus (HPV) infection is a key factor in the development of cervical cancer and HPV genotyping is crucial for screening. There are significant differences in the pathogenic potential of the various HPV types. Currently, clinical data on HPV82 are scarce, and the relationship between its viral load, pathogenicity, and persistence is unknown. This study analyzed the characteristics of HPV82 single infection.

METHODS

Cervical samples were collected to determine the positivity rate of HPV82 and its clinical features in a single infection and examined the association between viral load, persistent infection, and pathogenicity.

RESULTS

The positive rate of HPV82 among women attending hospitals for gynecological physical examination or medical consultation was approximately 0.24% (1,033/435,072). Among 335 cases of HPV82 single infection, the number of patients with lesion-free tissue biopsy results, cervical intraepithelial neoplasia (CIN) 1, CIN2, CIN3, and cervical cancer were 263, 42, 11, 18, and one, respectively. A follow-up of 210 patients showed that 21.21% (7/33) of patients with CIN1 progressed to high-grade lesions, whereas 7.34% (13/177) of lesion-free patients progressed to CIN. The viral load in the CIN and cervical cancer group was significantly higher than that in the lesion-free group (p < 0.001), and the viral load in the persistent infection group was higher than that in the viral clearance group (p < 0.001).

CONCLUSION

The pathogenicity of single HPV82 infection ranks in the middle among high-risk HPV types, and it can lead to cervical cancer, warranting the inclusion of HPV82 in expanded screening for HPV. High viral load is a significant factor that improves the persistent infection ability and pathogenicity of HPV82. Viral load is expected to serve as a screening risk factor for persistent infection and disease progression associated with HPV82.

Outcomes and associated factors of cervical human papillomavirus infection among 608 women in Shenzhen, China, 2018-2023

Objective

This study aimed to uncover the patterns of Human papillomavirus (HPV) infection outcomes in women and assess the risk factors that may affect these outcomes.

Methods

A retrospective study was conducted on 608 women who tested positive for HPV-DNA during their initial visit to the outpatient department of Shenzhen Longgang Central Hospital from 2018 to 2023 and who had subsequent HPV-DNA testing as part of their post-visit monitoring. The monitoring intervals were every 6 months. The rank sum test was used to analyze ranked data. The Kaplan-Meier method was used to analyze the turning negative time. Univariate analysis was performed using the log-rank test, and multivariate analysis was performed using the Cox model to analyze independent risk factors.

Results

The results showed that the median age was 40.00 years (interquartile 33.00-47.00 years), the total conversion rate of the HPV-negative patients was 38.98%, and the median conversion time of the HPV-negative patients was 8.95 months (interquartile 4.20-16.175 months). Age, infection status and type of health insurance were significantly correlated with HPV outcome (p < 0.05).

Conclusion

Among women infected with HPV, the overall rate of negative HPV infection was 38.93%, and the duration of negative conversion was 8.95 months. The study revealed that age, HPV infection status, and type of medical insurance are independent predictors of the persistence of negative HPV test outcomes.

Prevalence and Genotyping of Human Papillomavirus Infections in Females and Males in Zhejiang, China

Objective

This study aimed to investigate the infection rate, types of human papillomavirus (HPV), and the relationship between HPV types and host factors in Zhejiang and lay a foundation for developing a prophylactic HPV vaccine.

Methods

A retrospective analysis of the genotyping results of 27 hPV types using exfoliated cells from the cervix, vulva, perianal region, or oral mucosa of 28206 females, and exfoliated cells from the penis, perianal region or oral mucosa of 2923 male patients undergoing treatment between January 2016 and December 2021 at Zhejiang Provincial People's Hospital was performed.

Results

In females, the overall positive rate was 30.26%. The top five HPV types were HPV52, 58, 16, 6, and 53. In males, the overall positive rate was 31.85%. The top five HPV types were HPV6, 11, 16, 52, and 43. About 90.48% of patients with CINII+ were HR-HPV+. HPV33, 16 were the top two HPV types that increased CINII+ risks.

Conclusion

Currently, the bivalent (HPV16, 18), quadrivalent (HPV6, 11, 16, 18), and 9-valent (HPV6, 11, 16, 18, 31, 33, 45, 52, 58) HPV vaccines are marketed. Of these, the 9-valent HPV vaccines are more suitable for people in the Zhejiang province; however, it is still insufficient. Therefore, the 11-, 14-, and 15-valent vaccines being developed and marketed include more genotypes, and their outcomes are worth anticipating.

Study on the clinical characteristics, persistent infection capability and viral load of human papillomavirus type 26 single infection

BACKGROUND

Human papillomavirus (HPV) infection is the main cause of cervical cancer. Different types of HPV have varying carcinogenic capabilities, and viral load is one of the key indicators of pathogenicity. Currently, there is a lack of clinical data on HPV26. This study analyzed the clinical characteristics of patients with HPV26 single infection.

METHODS

Exfoliated cervical cells were collected for HPV genotyping from women who attended gynecological outpatient clinics or physical examinations. The clinical characteristics of HPV26 single infections in both cross-sectional and follow-up studies were examined, and the association of viral load with HPV26 persistent infection and pathogenicity was investigated.

RESULTS

The HPV26 positive rate among women visiting hospitals for gynecological medical consultation or physical examination was approximately 0.09% (379/435,072). Among the HPV types tested, the detection rate of HPV26 was 0.37% (379/103,608). In the cross-sectional histopathological study of 101 patients with HPV26 single infection, 62.37% (63/101) presented lesion-free. The numbers of patients with cervical intraepithelial neoplasia (CIN) 1, CIN2, and CIN3 were 25, eight, and five, respectively. Cervical cancer was not detected in any patient. 71 patients attended follow-up examinations as well as HPV26 retesting up to two years, during which, 28.57% (6/21) of CIN1 patients have developed into high-grade lesions, and 9.61% (5/52) of lesion-free patients have progressed to CIN stage. The viral load in the CIN group was significantly higher than that in the lesion-free group (p = 0.012). Similarly, the viral load in the persistent infection group was significantly higher than that in the viral-clearance group (p < 0.001).

CONCLUSIONS

The pathogenicity of single HPV26 infections is moderate among high-risk types, warranting the inclusion of HPV26 in expanded screening for HPV. High viral load is an important factor in the persistent infection and pathogenicity of HPV26. Viral load is expected to serve as a screening risk factor for persistent infection and disease progression associated with HPV26.

Ranking the attribution of high-risk genotypes among women with cervical precancers and cancers: a cross-sectional study in Ningbo, China

BACKGROUND

The region-specific importance of carcinogenic HPV genotypes is required for optimizing HPV-based screening and promoting appropriate multivalent HPV prophylactic vaccines. This information is lacking for Ningbo, one of the first cities of China's Healthy City Innovation Pilot Program for Cervical Cancer Elimination. Here, we investigated high-risk HPV (HR-HPV) genotype-specific distribution and attribution to biopsy-confirmed cervical intraepithelial neoplasia grade 2 or worse (CIN2+) before mass vaccination in Ningbo, China.

METHODS

A total of 1393 eligible CIN2+ archived blocks (including 161 CIN2, 1107 CIN3, and 125 invasive cervical cancers [ICC]) were collected from 2017 to 2020 in Ningbo. HR-HPV DNA was genotyped using the SPF10-DEIA-LiPA25 version 1 detection system and the SureX HPV 25X Genotyping Kit. Genotype-specific attribution to CIN2+ was estimated using a fractional contribution approach.

RESULTS

Ranking by the attributable proportions, HPV16 remained the most important genotype in both cervical precancers and cancers, accounting for 36.8% of CIN2, 53.2% of CIN3, and 73.3% of ICC cases. Among cervical precancers, HPV52 (17.3% in CIN2, 12.7% in CIN3) and HPV58 (13.9%, 14.9%) ranked second and third, while HPV33 (8.3%, 7.9%) and HPV31 (6.5%, 4.1%) ranked fourth and fifth, respectively. However, among ICCs, HPV18 (5.7%) accounted for the second highest proportion, followed by HPV33 (5.4%), HPV58 (4.0%), and HPV45 (3.2%). HPV18/45 together accounted for 46.8% of adenocarcinomas, which was slightly lower than that of HPV16 (47.7%). The remaining HR-HPV genotypes (HPV35/39/51/56/59/66/68) combined accounted for only 6.7% of CIN2, 2.9% of CIN3, and 4.2% of ICC.

CONCLUSIONS

With Ningbo's strong medical resources, it will be important to continue HPV16/18 control efforts, and could broaden to HPV31/33/45/52/58 for maximum health benefits. However, different strategies should be proposed for other HR-HPV genotypes based on their lower carcinogenic risks.

Distribution and diagnostic value of single and multiple high-risk HPV infections in detection of cervical intraepithelial neoplasia: A retrospective multicenter study in China

The risk associated with single and multiple human papillomavirus (HPV) infections in cervical intraepithelial neoplasia (CIN) remains uncertain. This study aims to explore the distribution and diagnostic significance of the number of high-risk HPV (hr-HPV) infections in detecting CIN, addressing a crucial gap in our understanding. This comprehensive multicenter, retrospective study meticulously analyzed the distribution of single and multiple hr-HPV, the risk of CIN2+, the relationship with CIN, and the impact on the diagnostic performance of colposcopy using demographic information, clinical histories, and tissue samples. The composition of a single infection was predominantly HPV16, 52, 58, 18, and 51, while HPV16 and 33 were identified as the primary causes of CIN2+. The primary instances of dual infection were mainly observed in combinations such as HPV16/18, HPV16/52, and HPV16/58, while HPV16/33 was identified as the primary cause of CIN2+. The incidence of hr-HPV infections shows a dose-response relationship with the risk of CIN (p for trend <0.001). Compared to single hr-HPV, multiple hr-HPV infections were associated with increased risks of CIN1 (1.44, 95% confidence interval [CI]: 1.20-1.72), CIN2 (1.70, 95% CI: 1.38-2.09), and CIN3 (1.08, 95% CI: 0.86-1.37). The colposcopy-based specificity of single hr-HPV (93.4, 95% CI: 92.4-94.4) and multiple hr-HPV (92.9, 95% CI: 90.8-94.6) was significantly lower than negative (97.9, 95% CI: 97.0-98.5) in detecting high-grade squamous intraepithelial lesion or worse (HSIL+). However, the sensitivity of single hr-HPV (73.5, 95% CI: 70.8-76.0) and multiple hr-HPV (71.8, 95% CI: 67.0-76.2) was higher than negative (62.0, 95% CI: 51.0-71.9) in detecting HSIL+. We found that multiple hr-HPV infections increase the risk of developing CIN lesions compared to a single infection. Colposcopy for HSIL+ detection showed high sensitivity and low specificity for hr-HPV infection. Apart from HPV16, this study also found that HPV33 is a major pathogenic genotype.

Immediate histologic correlation in patients with different HPV genotypes and ages: a single center analysis in China

BACKGROUND

Human papillomavirus (HPV) has been confirmed as a major causative factor for malignant transformation of cervical epithelial cells and for the development of cervical intraepithelial neoplasia (CIN) and invasive cervical cancer. We carried out this study to investigate the association of different HPV genotypes and ages with immediate histological cervical lesions in opportunistic screening patients in a single center.

METHODS

A total of 1,661 samples with biopsy-confirmed histologic findings were collected from the gynecological clinic of our hospital between October 2017 and May 2020 for analysis. The distribution of single-type HPV genotypes in CIN of different severities and the age-dependent prevalence for single-type HPV infection were analyzed.

RESULTS

In both CIN2 and CIN3 group, HPV16, 58, 52, 33 and 31/18 were detected as top 5 high-risk human papillomavirus (hrHPV) types, which accounts for 89.25% and 88.54% of single HPV infection incidence respectively. Besides, not a single case of HPV45 was found in CIN2 and CIN3. HPV16 was the dominant genotype in both CIN2 and CIN3, accounted for 46.24% and 55.21%, respectively. The prevalence of HPV16 was the most frequent in all the age groups, except ≥ 65 years group in CIN3, and almost one in three HPV16-positive patients were diagnosed with high grade CIN. The peak of the incidence of CIN3 was observed at 25 ~ 34 years (33.68%), followed by 35 ~ 44 years (31.58%).

CONCLUSION

High grade CIN peak at 25 ~ 44 years, women of this age are recommended for normative screening if conditions permit. HPV16-positive patients should be given high priority in opportunistic screening, while the single-center data suggesting a low risk of CIN2/3 in HPV45-positive patients. For women ≥ 65 years old, patients infected with other HPV types should be also taken seriously. In general, HPV16, 58, 52, 33, 31 and 18 were the most common genotypes in CIN2/3, and a vaccine including these predominant genotypes might be of great significance for cervical cancer prevention in China.

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.

Clinical and epidemiological features of high-risk human papillomavirus infection in patients with cervical intraepithelial lesions

OBJECTIVE

In this study, we analyzed the clinical and epidemiological features of high-risk human papillomavirus (HR-HPV) infection in patients with cervical intraepithelial lesions.

METHODS

Retrospective analysis was performed on the clinical data of 240 cases of histologically confirmed cervical squamous intraepithelial lesions to determine any correlation between HPV infection characteristics, age distribution, and cervical epithelial lesions.

RESULTS

Patients between the ages of 31 and 40 with cervical intraepithelial lesions were more likely to have high-grade squamous intraepithelial lesions (HSIL; 40.7%) than low-grade squamous intraepithelial lesions (LSIL; 31.3%) (P < 0.05). In patients with HSIL, HR-HPV16, HR-HPV33, and HR-HPV52 were the most common types of HPV infection, while in patients with LSIL, HR-HPV16, HR-HPV52, and HR-HPV58 were the most common types of HPV infection. The highest percentage of single infections occurred in the HSIL group (69.6%), followed by the LSIL group (68.8%). HSIL was present in a significant number of patients (28.6%) aged 30 years and above who tested positive for 12 HPV types but negative for TCT.

CONCLUSION

The prevalence of HSIL is greatest in younger patients. Patients with cervical epithelial lesions typically have a single infection of a high-risk HPV genotype-HR-HPV16, HR-HPV33, HR-HPV52, or HR-HPV58. Patients aged 30 years and above who test positive for one of 12 types of HPV but negative for TCT are at increased risk for developing HSIL. In order to detect cervical lesions early and begin treatment without delay, colposcopy should be performed regardless of whether or not a high-risk HPV infection is present.

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.