Zhou Yilu, Liu Jiaxin, Chen Shuai, Xin Xianzhen, Xiao Mohan, Qiang Xian, Zhang Lina
Center for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Department of Gynecology, Beigang Street Community Health Service Center, Changzhou, China.
Cancer Cytopathol. 2025 Jan;133(1):e22920. doi: 10.1002/cncy.22920. Epub 2024 Nov 18.
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).
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.
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.
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.
为减少不必要的检查和治疗，迫切需要一种有效的方法来鉴别人类乳头瘤病毒（HPV）阳性患者。本研究旨在探讨不同宫颈病变中HPV病毒载量的差异，并确定高级别鳞状上皮内病变（HSIL）的最佳临界值。
这项回顾性研究纳入了2023年1月1日至2024年3月1日期间入住某医院的不同程度宫颈病变患者。采用BioPerfectus多重实时检测法测定HPV基因型和病毒载量。分析宫颈病变分类中HPV基因型病毒载量的差异，以确定最适用的病毒载量类型。
HPV16、HPV31、HPV33、HPV35和HPV58的病毒载量与宫颈病变分级显著相关（p <.05），其中HPV16组的相关性最强（p <.01）。HPV16病毒载量在预测HSIL方面表现出良好的敏感性（Se）和特异性（Sp）（Se = 81.52%，Sp = 64.13%）。与阴性、低级别鳞状上皮内病变（LSIL）和HSIL相关的三种最常见HPV基因型为HPV16、HPV52和HPV58。HPV33在HSIL中的患病率最高，其次是HPV16。
高危型HPV病毒载量与宫颈病变分类相关。HPV16病毒载量可通过良好的Se和Sp有效区分HSIL和LSIL。
