Xiao Tang, Megan L Zilla, Wei Jiang, Yanmei He, David Starr, Lei Li, Lingling Tong, Cheng Wang, Wei Wang, Kaixuan Yang, Rutie Yin, Chengquan Zhao
{"title":"The significance of extensive HPV genotyping for cervical high-grade neoplasia among women with atypical glandular cells.","authors":"Xiao Tang, Megan L Zilla, Wei Jiang, Yanmei He, David Starr, Lei Li, Lingling Tong, Cheng Wang, Wei Wang, Kaixuan Yang, Rutie Yin, Chengquan Zhao","doi":"10.1093/ajcp/aqae103","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To examine the associated risk of cervical intraepithelial neoplasm grade 3+ (CIN3+) lesions in patients with AGC and extensive human papillomavirus (HPV) genotyping.</p><p><strong>Methods: </strong>Cases with atypical glandular cell (AGC) interpretation on a Papanicolaou (Pap) test were identified along with associated extensive HPV genotyping and histologic follow-up results.</p><p><strong>Results: </strong>Within this cohort of 469,694 Pap tests, 0.4% were diagnosed as AGCs. In total, 1267 cases had concurrent high-risk HPV (hrHPV) genotyping, and 40.3% were hrHPV positive. The percentage of AGC cases with cervical CIN3+ on histologic follow-up was 52.2% when hrHPV was positive, whereas it was 4.9% with a negative hrHPV result. The top 5 hrHPV genotypes associated with cervical CIN3+ in this cohort were HPV16, HPV18, HPV58, HPV52, and HPV33. Indeed, 92.8% of the hrHPV-associated CIN3+ lesions identified in this cohort were positive for at least one of these HPV genotypes. The sensitivity of detecting cervical CIN3+ lesions was 85.6% with the top 5 hrHPV genotypes (HPV16/18/58/52/33) and only increased to 89.0% when the additional 12 genotypes were included.</p><p><strong>Conclusions: </strong>In patients with an AGC Pap, the risk of having a cervical CIN3+ lesion is greatly increased by positivity for hrHPV types 16, 18, 58, 52, and/or 33. Incorporating comprehensive HPV genotyping into AGC cytology allows for refined risk stratification and more tailored management strategies.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ajcp/aqae103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To examine the associated risk of cervical intraepithelial neoplasm grade 3+ (CIN3+) lesions in patients with AGC and extensive human papillomavirus (HPV) genotyping.
Methods: Cases with atypical glandular cell (AGC) interpretation on a Papanicolaou (Pap) test were identified along with associated extensive HPV genotyping and histologic follow-up results.
Results: Within this cohort of 469,694 Pap tests, 0.4% were diagnosed as AGCs. In total, 1267 cases had concurrent high-risk HPV (hrHPV) genotyping, and 40.3% were hrHPV positive. The percentage of AGC cases with cervical CIN3+ on histologic follow-up was 52.2% when hrHPV was positive, whereas it was 4.9% with a negative hrHPV result. The top 5 hrHPV genotypes associated with cervical CIN3+ in this cohort were HPV16, HPV18, HPV58, HPV52, and HPV33. Indeed, 92.8% of the hrHPV-associated CIN3+ lesions identified in this cohort were positive for at least one of these HPV genotypes. The sensitivity of detecting cervical CIN3+ lesions was 85.6% with the top 5 hrHPV genotypes (HPV16/18/58/52/33) and only increased to 89.0% when the additional 12 genotypes were included.
Conclusions: In patients with an AGC Pap, the risk of having a cervical CIN3+ lesion is greatly increased by positivity for hrHPV types 16, 18, 58, 52, and/or 33. Incorporating comprehensive HPV genotyping into AGC cytology allows for refined risk stratification and more tailored management strategies.