Yilu Zhou

Correlation of different HPV genotype viral loads and cervical lesions: A retrospective analysis of 1585 cases

AbstractBackgroundTo 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).MethodsThis 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.ResultsThe 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.ConclusionsHigh‐risk HPV viral load is associated with cervical lesion classification. HPV16 viral load can effectively differentiate HSIL from LSIL with good Se and Sp.

Human Papillomavirus Genotyping and Viral Load as a Predictor of Cervical Lesions: A Prospective Study

ABSTRACTThis prospective study aims to examine the impact of changes in viral load on the occurrence of cervical lesions and to evaluate viral load as a biomarker for predicting cervical lesions and triaging HPV‐positive patients. From September 2022 to August 2023, 1150 women aged 25–60 were enrolled at the Changzhou Maternal and Child Health Hospital. All participants tested positive for HPV and negative for both cytology and pathology. A follow‐up was conducted 6 months later to reassess HPV status and perform colposcopy. BMRT was employed to detect various HPV types and their viral loads. The ROC curve was utilized to determine the viral load cut‐off values for different HPV types to predict cervical lesions. From baseline to follow‐up, women whose HPV infection cleared were significantly younger than those with persistent HPV infection (p < 0.001). At baseline, the viral loads of the virus clearance, maintenance, and progression groups demonstrated an increasing trend (p < 0.001). Among women diagnosed with CIN during follow‐up, the viral load increased significantly from baseline to follow‐up (p = 0.001). The combination of HPV genotyping and viral load in the initial screening of cervical cancer enhances the prediction and identification of cervical lesions.