Related Experiment Video For cervical cancer screening
Updated: Jul 23, 2025

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis
Published on: June 14, 2019
Diagnostic accuracy of extended HPV DNA genotyping and its application for risk-based cervical cancer screening
Hongyu Xie1,2, Xuan Rao1,3, Junyan Li3,4,5
1Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Hangzhou, P.R. China.
Objectives:
To evaluate the consistency of 14 high-risk HPVs (hr-HPVs) detection between extended HPV DNA genotyping and a well-validated partial HPV genotyping kit, and to explore the diagnostic accuracy of risk stratification strategy based on extended HPV genotyping for cervical cancer (CC) screening.
Methods:
Baseline data from a clinical trial of recombinant HPV 9-valent vaccine in China was analyzed. All enrolled women aged 20-45 years received cervical cytology, HPV detection by extended and partial HPV genotyping kits. Those who met the indications would further receive colposcopy. The primary endpoints were cervical intraepithelial neoplasia 2/3 or worse (CIN2+/CIN3+).
Results:
A total of 8,000 women were enrolled between April 2020 and July 2020 and 83/33 cases were diagnosed as CIN2+/CIN3+. The overall agreement between the extended and partial HPV genotyping was 92.66 %. And the agreement further increased with the progression of lesions, which lead to similarly high sensitivity and negative predictive value of these kits. A stratified triage strategy of CC screening was constructed based on the immediate CIN2+/CIN3+ risk of specific HPV. Compared with the conventional HPV primary CC screening strategy, the risk-based strategy had higher specificity for CIN (CIN2+: 94.84 vs. 92.46 %, CIN3+: 96.05 vs. 91.92 %), and needed fewer colposcopies for detecting one cervical disease.
Conclusions:
Extended HPV genotyping had good agreement with a well-validated partial HPV genotyping CC primary screening kit in hr-HPV detection. Extended HPV genotyping could facilitate risk-based stratified management strategy and improve the diagnostic accuracy of primary CC screening.
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