Cervical Human Papillomavirus Infection (HPV) and High Oncogenic Risk Genotypes among Women Living with HIV in Asia: A Meta-Analysis

Verrier, Florian; Cœur, Sophie Le; Delory, Tristan

doi:10.3390/jcm10091911

Cited by 8 publications

(6 citation statements)

References 37 publications

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“…Approximately 70% of cervical cancer and pre-cancerous lesions are associated with HPV16 and HPV18 [ 14 ]. However, the predominant HPV genotypes may result in different outcomes at different stages of the disease [ 15 , 16 ]. HPV52 and HPV16 are dominant in CIN1, while HPV16 and HPV58 are found in CIN2/3 [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Epidemiological study of HPV infection in 40,693 women in Putian: a population study based on screening for high-risk HPV infection

et al. 2022

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Background The infection rate of human papillomavirus (HPV) is high in the coastal regions of China. However, the infection rate among high-risk genotypes of women in Putian City is unknown. Therefore, this study aimed to analyse the epidemiology of high-risk HPV infection among women in Putian and provide a reference for the diagnosis, treatment and vaccination of cervical cancer in this region. Methods The data used were obtained from the Chinese government’s public health program (“Cervical and Breast Cancer Screening Project”). A total of 40,693 female cervical cell exfoliation samples screened for high-risk HPV at the Affiliated Hospital of Putian University from July 2020 to December 2021 were enrolled. DNA was extracted using a fully automatic extractor. Then, 14 high-risk genotypes of HPV were detected by polymerase chain reaction. The characteristics of HPV infection, distribution of high-risk genotypes, infection types and thinprep cytologic test (TCT) classification at different age groups were analysed. Results Among the 40,693 samples, 3899 were infected with HPV, with an infection rate of 9.6%. Accordingly, HPV infection rates gradually increased with age, and statistically significant differences were observed among age groups (χ2 = 74.03, P < 0.01). The infection rates of high-risk HPV52, HPV58 and HPV16 were in the top three and increased with age. Single infection was dominant (84.7%), followed by double infections (12.7%). The cervical cytology of 3899 HPV-positive people can be classified into negative for intraepithelial lesion and malignancy (NILM, 88.0%), atypical squamous cells of undetermined significance (ASC-US, 6.6%), atypical squamous cells—cannot exclude high-grade squamous intraepithelial lesion (ASC-H, 1.4%), low-grade squamous intraepithelial lesion (LSIL, 3.2%) and high-grade squamous intraepithelial lesion (HSIL, 0.8%). HPV16 infection rate increased with increasing severity of cervical cytology (χ2trend = 43.64, P < 0.01), whereas the infection rates of HPV52 (χ2trend = 13.89, P < 0.01) and HPV58 (χ2trend = 13.50, P < 0.01) showed opposite trends. Conclusion The infection rate of female HPV high-risk screening in this region was 9.6% and mainly involved single infections. In addition, HPV16, HPV52 and HPV58 were closely related to the severity of cervical cytology. Effective screening, vaccination and education are needed. The 9-valent vaccine will be effective in reducing cervical pre-invasive disease. It would also be reasonable to state that the rising trend in HPV infection and high grade cytology with age emphasises the need to target older women with screening. Vaccination of younger women (aged ≤ 25) will lay the foundation for better cancer outcomes in the future.

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Section: Introductionmentioning

confidence: 99%

Epidemiological study of HPV infection in 40,693 women in Putian: a population study based on screening for high-risk HPV infection

et al. 2022

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“…As a homologous genus of HPV 18, HPV A7 is associated with cervical adenocarcinoma. As a homologous species of HPV16, HPV A9 is associated with cervical squamous cell carcinoma.At present, this HPV grouping method is rarely used in clinic, but some studies have found that HPV A7 has more integration sites than A9, and the prognosis of cervical cancer caused by A7 is worse[ 17 , 18 ].Although the integration rate of HPV A9 is lower than that of A7, the incidence of cervical cancer is higher [ 19 , 20 ], so we still need to pay attention to the infection of different HPV groups in the population.…”

Section: Discussionmentioning

confidence: 99%

HPV positivity status in males is related to the acquisition of HPV infection in females in heterosexual couples

Huang,

Kang,

et al. 2024

Eur J Clin Microbiol Infect Dis

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Purpose Few studies have focused on the impact of human papillomavirus (HPV) positivity in male partners on female HPV infection and cervical lesions. The purpose of this study was to evaluate the impact of the HPV infection status of husbands on wives’ cervical HPV infection and lesions. Methods We surveyed 251 monogamous couples who attended the outpatient department of Fujian Maternity and Child Health Hospital from 2013 to 2021. HPV type analysis was performed on exfoliated cells of the females’ cervix and males’ urethra by the PCR-reverse dot blot method. We analyzed the prevalence and consistency of HPV types in 251 couples. Subsequently, the risk of HPV infection in females with HPV-positive male partners was analyzed. SPSS version 26 (IBM, Chicago, USA) was used for statistical analysis. Results In 251 couples, the most commonly detected high-risk HPV (HR-HPV) genotypes were 52, 51, 16, and 58 for males and 16, 52, 18, and 58 for females. Wives with HPV-positive husbands had higher infection rates for most HR-HPV genotypes. HR-HPV positivity in husbands was a risk factor for the development of cervical lesions in wives (OR = 2.250, P = 0.014). Both single-type (OR = 2.085, P = 0.040) and multiple-type (OR = 2.751, P = 0.036) infection in husbands will contributed to an increased risk of non-HR-HPV infection and cervical lesions in wives. Conclusion Husbands’ HPV positivity increases the burden of non-HR-HPV infection and increases the risk of cervical lesions developing in wives. It is hoped to provide a reference value for cervical cancer prevention in females and HPV vaccination in males.

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“…In recognition of the differences in HPV prevalence, cervical cancer risk, and recommended screening intervals among WLWH, the CPPT disaggregates results in the screening approaches by HIV status. With high sensitivity but low specificity for CIN2 + , the implementation of HPV testing alone among WLWH, for whom HPV prevalence can be 50% or higher [28,29], can result in overtreatment due to the detection of otherwise transient HPV infections [30]. Countries with a high dual burden of HIV and cervical cancer will need different approaches for these women, such as a highly accurate triage test to further identify those needing treatment or more frequent screening among WLWH.…”

Section: Considerations For Selecting Cervical Cancer Screening and T...mentioning

confidence: 99%

Acting on the call for cervical cancer elimination: Planning tools for low- and middle- income countries to increase the coverage and effectiveness of screening and treatment

Herrick

Thomson

Shin

et al. 2022

BMC Health Serv Res

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Introduction Accessible planning tools tailored for low-and middle-income countries can assist decision makers in comparing implementation of different cervical cancer screening approaches and treatment delivery scenarios in settings with high cervical cancer burden. Methods The Cervical Precancer Planning Tool (CPPT) was developed by PATH for users to explore and compare the accuracy of screening approaches, what treatment equipment to procure, and how best to deploy treatment equipment in a given country. The CPPT compares four screening approaches: 1) visual inspection with acetic acid (VIA), 2) HPV testing, 3) HPV testing followed by a VIA triage, and 4) HPV testing followed by an enhanced triage test. Accuracy of screening outcomes (e.g., true positives, false positives) is based on published sensitivity and specificity of tests to detect cervical precancerous lesions. The CPPT compares five scenarios for deploying ablative treatment equipment: 1) cervical precancer equipment at every location a woman is screened (single visit approach), 2) equipment only at a hospital level, 3) a single unit of equipment in each district, 4) allowing two districts to share a single unit of equipment, and 5) equipment placed at select district hospitals paired with mobile outreach. Users can customize the CPPT by adjusting pre-populated baseline values and assumptions, including population estimates, screening age range, screening frequency, HPV and HIV prevalence, supply costs, and health facility details. Results The CPPT generates data tables and graphs that compare the results of implementing each of the four screening and five treatment scenarios disaggregated by HIV status. Outputs include the number and outcomes of women screened, cost of each screening approach, provider time and cost saved by implementing self-sampling for HPV testing, number of women treated, treatment equipment needed by type, and the financial and economic costs for each equipment deployment scenario. Conclusion The CPPT provides practical information and data to compare tradeoffs of patient access and screening accuracy as well as efficient utilization of equipment, skilled personnel, and financial resources. Country decision makers can use outputs from the CPPT to guide the scale-up of cervical cancer screening and treatment while optimizing limited resources.

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Cervical Human Papillomavirus Infection (HPV) and High Oncogenic Risk Genotypes among Women Living with HIV in Asia: A Meta-Analysis

Cited by 8 publications

References 37 publications

Epidemiological study of HPV infection in 40,693 women in Putian: a population study based on screening for high-risk HPV infection

Epidemiological study of HPV infection in 40,693 women in Putian: a population study based on screening for high-risk HPV infection

HPV positivity status in males is related to the acquisition of HPV infection in females in heterosexual couples

Acting on the call for cervical cancer elimination: Planning tools for low- and middle- income countries to increase the coverage and effectiveness of screening and treatment

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