Year: 2026
Type: article
Study design: Observational Study
Abstract: Effective triage of HPV-positive women remains challenging, as conventional cytology often yields excessive colposcopy referrals due to limited specificity. We evaluated HPV integration status-a key molecular marker associated with cervical carcinogenesis-as a novel triage biomarker within the Fujian-Hubei Screening Cohort (N = 31,628). Among 949 prospectively enrolled HPV-positive women with concurrent HPV integration testing (HIVID), genotyping, and cytology, HPV integration emerged as the strongest independent predictor of CIN3+ (aOR = 68.1). As a standalone triage tool, HPV integration detection significantly outperformed cytology, demonstrating superior specificity (97.0% vs. 64.3%; p < 0.001) and PPV (57.1% vs. 10.4%; p < 0.001) while maintaining comparable sensitivity (66.7% vs. 68.5%). Critically, our combined strategy integrating HPV16/18 genotyping with integration detection achieved optimized performance: it enhanced specificity by 25.2% (69.5% vs. 44.3%) and yielded a higher PPV (14.7% vs. 9.1%) compared to standard cytology + genotyping, with no significant sensitivity loss (87.0% vs. 92.6%; p = 0.526). This approach identified a large low-risk subgroup (NILM/integration-negative; 59.2% of cohort) with minimal CIN3+ risk (0.7%), enabling an 82% reduction in colposcopy referrals versus cytology triage (6.6% vs. 37.6%; p < 0.001). These results position HPV integration as a robust biomarker for precision risk stratification. The combined use of HPV genotyping and integration detection offers an efficient, clinically actionable strategy to minimize unnecessary procedures while maintaining high-grade lesion detection.
Source: Tumour Virus Research
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,110
Funders: National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Fujian Medical University, Fujian Provincial Health Commission, National Key Research and Development Program of China, Special Project of Central Government for Local Science and Technology Development of Hubei Province
OpenAlex ID: W7204916395
