ArticleBioMed research international2020
Human Papillomavirus Coinfection in the Cervical Intraepithelial Lesions and Cancer of Mexican Patients.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Vaginal Microenvironment-Driven neural network model for predicting multiple HPV co-infections: a machine learning clinical decision framework.BMC women's health · 2025Article
- Analysis of 19,116 cases of human papillomavirus infection and subtype distribution in Sanmen, Zhejiang Province, China.BMC infectious diseases · 2025Article
- Prevalence of human papillomavirus genotypes in women of different ethnicity from rural northwestern Ecuador.BMC global and public health · 2024Article
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- Prevalence and Risk Factors for High-Risk Human Papillomavirus Infection and Cervical Disorders: Baseline Findings From an Human Papillomavirus Cohort Study.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
According to their oncogenic properties, Human Papillomaviruses (HPVs) are classified into two types: Low-Risk (LR-HPVs) and High-Risk Human Papillomaviruses (HR-HPVs). The immune system naturally controls the majority of HPV infections; however, when the HR-HPV infection is persistent, the risk of developing cervical cancer increases. Previous studies indicate that multiple-infection or coinfection with HR-HPV occurs frequently and can potentiate the development of cervical lesions. This study aimed to establish the HPV coinfection rate in squamous intraepithelial lesions from Mexican patients. For HPV detection, we performed PCR on 55 cervical lesions diagnosed by colposcopy. We detected the presence of HPV infection in 87.27% (48/55) of the lesions; interestingly, HPV coinfection was observed in 70.83% (34/48) of these samples. We also evaluated HPV infection in adjacent areas without morphological changes from 25 samples. The results showed that 80% (20/25) of these were HPV-positive and, curiously, all presented HPV-16 infection. In conclusion, our results revealed a high prevalence of HPV coinfection in cervical lesions in Mexican patients, and these results contribute to future research focused on the role that HPV coinfection plays in the development of cervical cancer.
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