Development of a novel, urine-based high-risk human papillomavirus polymerase chain reaction test to predict cervical intraepithelial neoplasia abnormalities associated with cervical cancer

This study evaluated and optimized a novel urine-based workflow using high-risk human papillomavirus (hrHPV) polymerase chain reaction (PCR) test to detect 14 hrHPV genotypes linked to cervical intraepithelial neoplasia (CIN) abnormalities for cervical cancer screening. In cohort 1 for clinical feasibility, 82 women with confirmed CIN2+ abnormalities provided paired urine and cervical brush samples before treatment. Urine was tested with the novel hrHPV workflow, and cervical brushes with the Cobas HPV Test (Roche). For Ct cut-off optimization in cohort 2, urine samples from 983 women in a primary screening, triage, and follow-up program were analyzed, optimizing CIN2+ and CIN3+ sensitivity and specificity by varying the 12-other hrHPV channel Ct cut-off from 28.0 to 38.0, while maintaining HPV16/18 Ct cut-offs at 38.0. In cohort 1, the urine hrHPV test showed 92.7% sensitivity for CIN2+ and 93.9% for CIN3+, exceeding cervical brush sensitivities of 78.1% and 90.9%, respectively. In cohort 2, the 12-other hrHPV Ct altered CIN2+ sensitivity from 76.6% to 93.6% and specificity from 83.1% to 75%. ROC analysis identified optimal cut-offs at 32.76 for CIN2+ and 30.47 for CIN3+. The proposed cut-offs are HPV16/18 at 38.0, and 12 other hrHPV at 33.0 for maximum sensitivity (93.62% CIN2+, 90.91% CIN3+) or at 30.5 for balanced performance (89.36% CIN2+ sensitivity, 80% specificity). The urine-based hrHPV test uses 40 mL of urine collected using a standard urine collection device, and demonstrated high sensitivity for CIN2+ prediction. Adjustable Ct thresholds allow tailored performance optimization, thereby enhancing accessibility, adherence, and early cervical cancer detection across diverse clinical settings.IMPORTANCEA novel urine-based high-risk human papillomavirus (hrHPV) polymerase chain reaction test was developed to detect 14 hrHPV genotypes, including individual HPV16 and HPV18 typing, associated with cervical cancer progression. By employing a liquid-liquid separation method to extract DNA from large-volume (40 mL) pot-collected urine samples, the test demonstrated sensitivities of 92.7% for cervical intraepithelial neoplasia grade 2 or higher (CIN2+) and 93.9% for CIN3+. Optimization of cycle threshold cut-offs yielded 93% sensitivity and 77% specificity for predicting CIN2+ in an enriched population. It can enhance accessibility, compliance, and early detection across diverse clinical settings.

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Publication Details

Journal
Microbiology Spectrum
Published
2026-06-17
DOI
https://doi.org/10.1128/spectrum.03796-25
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a novel, urine-based high-risk human papillomavirus polymerase chain reaction test to predict cervical intraepithelial neoplasia abnormalities associated with cervical cancer

Wenkui Dai, Garrett L. Mosley, Jinwen Yu, V. Saini et al.
Microbiology Spectrum
Cervical Cancer and HPV Research
article

Development of a novel, urine-based high-risk human papillomavirus polymerase chain reaction test to predict cervical intraepithelial neoplasia abnormalities associated with cervical cancer

Wenkui Dai, Garrett L. Mosley, Jinwen Yu, V. Saini, H Du, D Wu, Peng Yin, Ricky Yin To Chiu, Zhengyang Guo
article en

Abstract

This study evaluated and optimized a novel urine-based workflow using high-risk human papillomavirus (hrHPV) polymerase chain reaction (PCR) test to detect 14 hrHPV genotypes linked to cervical intraepithelial neoplasia (CIN) abnormalities for cervical cancer screening. In cohort 1 for clinical feasibility, 82 women with confirmed CIN2+ abnormalities provided paired urine and cervical brush samples before treatment. Urine was tested with the novel hrHPV workflow, and cervical brushes with the Cobas HPV Test (Roche). For Ct cut-off optimization in cohort 2, urine samples from 983 women in a primary screening, triage, and follow-up program were analyzed, optimizing CIN2+ and CIN3+ sensitivity and specificity by varying the 12-other hrHPV channel Ct cut-off from 28.0 to 38.0, while maintaining HPV16/18 Ct cut-offs at 38.0. In cohort 1, the urine hrHPV test showed 92.7% sensitivity for CIN2+ and 93.9% for CIN3+, exceeding cervical brush sensitivities of 78.1% and 90.9%, respectively. In cohort 2, the 12-other hrHPV Ct altered CIN2+ sensitivity from 76.6% to 93.6% and specificity from 83.1% to 75%. ROC analysis identified optimal cut-offs at 32.76 for CIN2+ and 30.47 for CIN3+. The proposed cut-offs are HPV16/18 at 38.0, and 12 other hrHPV at 33.0 for maximum sensitivity (93.62% CIN2+, 90.91% CIN3+) or at 30.5 for balanced performance (89.36% CIN2+ sensitivity, 80% specificity). The urine-based hrHPV test uses 40 mL of urine collected using a standard urine collection device, and demonstrated high sensitivity for CIN2+ prediction. Adjustable Ct thresholds allow tailored performance optimization, thereby enhancing accessibility, adherence, and early cervical cancer detection across diverse clinical settings.IMPORTANCEA novel urine-based high-risk human papillomavirus (hrHPV) polymerase chain reaction test was developed to detect 14 hrHPV genotypes, including individual HPV16 and HPV18 typing, associated with cervical cancer progression. By employing a liquid-liquid separation method to extract DNA from large-volume (40 mL) pot-collected urine samples, the test demonstrated sensitivities of 92.7% for cervical intraepithelial neoplasia grade 2 or higher (CIN2+) and 93.9% for CIN3+. Optimization of cycle threshold cut-offs yielded 93% sensitivity and 77% specificity for predicting CIN2+ in an enriched population. It can enhance accessibility, compliance, and early detection across diverse clinical settings.

Microbiology Spectrum
Scientific Software International (United States) (US), Peking University Shenzhen Hospital (CN)
Peking University
Good health and well-being
Openalex Percentile: Top 7%
Cervical Cancer and HPV Research
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