{"title":"Correlation of different HPV genotype viral loads and cervical lesions: A retrospective analysis of 1585 cases.","authors":"Yilu Zhou, Jiaxin Liu, Shuai Chen, Xianzhen Xin, Mohan Xiao, Xian Qiang, Lina Zhang","doi":"10.1002/cncy.22920","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To reduce unnecessary examinations and treatments, an effective detection method for differentiating human papillomavirus (HPV)-positive patients is urgently needed. This study aimed to explore the differences in HPV viral loads across various cervical lesions and identify the optimal cutoff value for high-grade squamous intraepithelial lesions (HSILs).</p><p><strong>Methods: </strong>This retrospective study included patients with varying degrees of cervical lesions admitted to a hospital between January 1, 2023, and March 1, 2024. The HPV genotype and viral load were determined using BioPerfectus multiplex real-time assay. The differences in HPV genotype viral loads among cervical lesion classifications were analyzed to identify the most applicable type of viral load.</p><p><strong>Results: </strong>The viral loads of HPV16, HPV31, HPV33, HPV35, and HPV58 were significantly associated with the grade of cervical lesions (p < .05), with the HPV16 group exhibiting the strongest correlation (p < .01). The HPV16 viral load demonstrated good sensitivity (Se) and specificity (Sp) for predicting HSIL (Se = 81.52%, Sp = 64.13%). The three most prevalent HPV genotypes associated with negative, low-grade squamous intraepithelial lesions (LSILs) and HSILs were HPV16, HPV52, and HPV58. HPV33 exhibited the highest prevalence of HSILs, followed by HPV16.</p><p><strong>Conclusions: </strong>High-risk HPV viral load is associated with cervical lesion classification. HPV16 viral load can effectively differentiate HSIL from LSIL with good Se and Sp.</p>","PeriodicalId":9410,"journal":{"name":"Cancer Cytopathology","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Cytopathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/cncy.22920","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: To reduce unnecessary examinations and treatments, an effective detection method for differentiating human papillomavirus (HPV)-positive patients is urgently needed. This study aimed to explore the differences in HPV viral loads across various cervical lesions and identify the optimal cutoff value for high-grade squamous intraepithelial lesions (HSILs).
Methods: This retrospective study included patients with varying degrees of cervical lesions admitted to a hospital between January 1, 2023, and March 1, 2024. The HPV genotype and viral load were determined using BioPerfectus multiplex real-time assay. The differences in HPV genotype viral loads among cervical lesion classifications were analyzed to identify the most applicable type of viral load.
Results: The viral loads of HPV16, HPV31, HPV33, HPV35, and HPV58 were significantly associated with the grade of cervical lesions (p < .05), with the HPV16 group exhibiting the strongest correlation (p < .01). The HPV16 viral load demonstrated good sensitivity (Se) and specificity (Sp) for predicting HSIL (Se = 81.52%, Sp = 64.13%). The three most prevalent HPV genotypes associated with negative, low-grade squamous intraepithelial lesions (LSILs) and HSILs were HPV16, HPV52, and HPV58. HPV33 exhibited the highest prevalence of HSILs, followed by HPV16.
Conclusions: High-risk HPV viral load is associated with cervical lesion classification. HPV16 viral load can effectively differentiate HSIL from LSIL with good Se and Sp.
期刊介绍:
Cancer Cytopathology provides a unique forum for interaction and dissemination of original research and educational information relevant to the practice of cytopathology and its related oncologic disciplines. The journal strives to have a positive effect on cancer prevention, early detection, diagnosis, and cure by the publication of high-quality content. The mission of Cancer Cytopathology is to present and inform readers of new applications, technological advances, cutting-edge research, novel applications of molecular techniques, and relevant review articles related to cytopathology.