Prevalence and Distribution of Human Papillomavirus Genotypes (1997–2019) and Their Association With Cervical Cancer and Precursor Lesions in Women From Southern Mexico

Alarcón‐Romero, Luz del Carmen; Organista‐Nava, Jorge; Gómez‐Gómez, Yazmín; Ortíz-Ortíz, Julio; Hernández-Sotelo, Daniel; Moral-Hernández, Oscar Del; Mendoza-Catalán, Miguel Ángel; Antaño-Arias, Ramón; Leyva‐Vázquez, Marco Antonio; Sales-Linares, Natividad; Antonio-Véjar, Verónica; Illades‐Aguiar, Berenice

doi:10.1177/10732748221103331

Cited by 16 publications

(7 citation statements)

References 54 publications

(99 reference statements)

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“…The overall prevalence of HR-HPV infection in women with precancerous lesions who were referred from first-level health centers was 69.8%, a value similar to that reported in other cross-sectional studies conducted in dysplasia clinics in some regions of Mexico (60%–90%); 28 - 32 these rates are lower than those reported in studies with regional representativeness (24.78%), 7 but they are higher than the prevalence in the open population in Mexico. 5 , 6 The prevalence of HR-HPV infection age-specific in our population is distributed as a “U-shaped” curve.…”

Section: Discussionsupporting

confidence: 84%

Prevalence and Risk Factors for High-Risk Human Papillomavirus Infection and Cervical Disorders: Baseline Findings From an Human Papillomavirus Cohort Study

Saldaña-Rodríguez,

Bahena-Román,

Delgado-Romero

et al. 2023

Cancer Control

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Background A persistent infection by high-risk human papillomavirus (HR-HPV) is a prerequisite for the development of cervical neoplasms; however, most studies have focused on risk factors associated with HPV-16 and HPV-18 only. Objectives We assessed the association of risk factors with the prevalence of HPV-16, HPV-18, and non-16/18 HR-HPV infection and with the occurrence of cervical lesions in the baseline of a cohort study of HPV persistence in a Mexican population. Methods Cross-sectional study within the baseline of a 5-year dynamic cohort study of HR-HPV persistence in women with an abnormal cytology study result from 2015 to 2021. HPV DNA was detected using the Anyplex II HPV 28 kit. Data on lifestyle, sociodemographic, and reproductive factors were assessed using bivariate and multivariate analyses to determine the association of risk factors with HR-HPV infection status and histopathologic diagnosis. Results A total of 373 women were included in the study. The overall prevalence of HR-HPV infection was 69.97%. The most prevalent HR-HPV genotypes, including single and multiple infections, were HPV-53 (13.4%), HPV-16 (11.8%), HPV-58 (10.9%), HPV-31 (10.9%), and HPV-66 (10.7%). We found 90 multiple HR-HPV infection patterns, all of them with α-6 and -9 species. Significant associations of multiple HPV-16 and non-16/18 HR-HPV infections were found with marital status, number of lifetime sexual partners, and smoking history. The most prevalent genotype in CIN1 and CIN2 patients was HPV-16. No association was found between biological plausibility risk factors and cervical lesions. Conclusions The risk factors for non-16/18 HR-HPV multiple infections are no different than those linked to HPV-16 multiple infections.

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Section: Discussionsupporting

confidence: 84%

Prevalence and Risk Factors for High-Risk Human Papillomavirus Infection and Cervical Disorders: Baseline Findings From an Human Papillomavirus Cohort Study

Saldaña-Rodríguez,

Bahena-Román,

Delgado-Romero

et al. 2023

Cancer Control

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“…An epidemiological study of HPV infection among women in southern Mexico showed that co-infection of hrHPV genotypes of HPV-16, HPV-18, HPV-39, HPV-52, HPV-53, HPV-66, and HPV-69 with other HPV genotypes resulted in significantly higher risk of developing LSIL, HSIL, and cervical cancer. 36 Lee et al 37 also observed that subjects with multiple genotype HPV infections had a 31.8-fold higher risk of developing cervical cancer. Infection with multiple HPV genotypes can increase the risk of developing precancerous lesions, which may accelerate cancer development.…”

Section: Discussionmentioning

confidence: 96%

HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic

Xia

Zheng

et al. 2023

Human Vaccines & Immunotherapeutics

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Since March 2020, the pandemic caused by SARS-CoV-2 has affected nearly all aspects of daily life. In this study, we investigated the age-stratified prevalence and genotype distribution of human papillomavirus (HPV) among females in Shandong province (eastern China) and aimed to provide guidance on HPV-based cervical cancer screening and vaccination. The distribution of HPV genotypes was analyzed using PCR-Reverse Dot Hybridization. The overall infection rate of HPV was 16.4%, which was dominated by high-risk genotypes. The most prevalent genotype was HPV16 (2.9%), followed by HPV52 (2.3%), HPV53 (1.8%), HPV58 (1.5%), and HPV51 (1.3%). Among the positive cases with HPV infection, single-genotype infection was significantly higher than that of multi-genotype infection. In subgroup analyses by age (≤25, 26–35, 36–45, 46–55, >55), HPV16, 52, and 53 were consistently the three most common hrHPV genotypes in all age groups. The infection rate of multi-genotypes in the ≤25 and >55 age groups was significantly higher than that in other age groups. A bimodal distribution of HPV infection rate was observed in different age groups. Among lrHPV genotypes, HPV6, HPV11, and HPV81 were the three most common types in the ≤25 age group, while in other age groups, HPV81, HPV42, and HPV43 are the three most common lrHPV genotypes. This study provides basic information on the distribution and genotypes of HPV in the female population in eastern China, which could improve the application of HPV diagnostic probes and vaccines.

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“…There are over 200 different HPV types. Different HPV subtypes can cause different pathological lesions, and more than 60 types of HPV are found predominantly or exclusively in the anogenital tract ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

Factors affecting HPV infection in U.S. and Beijing females: A modeling study

Yang

Xie

Guan

et al. 2022

Front. Public Health

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BackgroundHuman papillomavirus (HPV) infection is an important carcinogenic infection highly prevalent among many populations. However, independent influencing factors and predictive models for HPV infection in both U.S. and Beijing females are rarely confirmed. In this study, our first objective was to explore the overlapping HPV infection-related factors in U.S. and Beijing females. Secondly, we aimed to develop an R package for identifying the top-performing prediction models and build the predictive models for HPV infection using this R package.MethodsThis cross-sectional study used data from the 2009–2016 NHANES (a national population-based study) and the 2019 data on Beijing female union workers from various industries. Prevalence, potential influencing factors, and predictive models for HPV infection in both cohorts were explored.ResultsThere were 2,259 (NHANES cohort, age: 20–59 years) and 1,593 (Beijing female cohort, age: 20–70 years) participants included in analyses. The HPV infection rate of U.S. NHANES and Beijing females were, respectively 45.73 and 8.22%. The number of male sex partners, marital status, and history of HPV infection were the predominant factors that influenced HPV infection in both NHANES and Beijing female cohorts. However, condom application was not an independent influencing factor for HPV infection in both cohorts. R package Modelbest was established. The nomogram developed based on Modelbest package showed better performance than the nomogram which only included significant factors in multivariate regression analysis.ConclusionCollectively, despite the widespread availability of HPV vaccines, HPV infection is still prevalent. Compared with condom promotion, avoidance of multiple sexual partners seems to be more effective for preventing HPV infection. Nomograms developed based on Modelbest can provide improved personalized risk assessment for HPV infection. Our R package Modelbest has potential to be a powerful tool for future predictive model studies.

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Prevalence and Distribution of Human Papillomavirus Genotypes (1997–2019) and Their Association With Cervical Cancer and Precursor Lesions in Women From Southern Mexico

Cited by 16 publications

References 54 publications

Prevalence and Risk Factors for High-Risk Human Papillomavirus Infection and Cervical Disorders: Baseline Findings From an Human Papillomavirus Cohort Study

Prevalence and Risk Factors for High-Risk Human Papillomavirus Infection and Cervical Disorders: Baseline Findings From an Human Papillomavirus Cohort Study

HPV prevalence and genotype distribution among women in eastern China during the Covid-19 pandemic

Factors affecting HPV infection in U.S. and Beijing females: A modeling study

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