PO.PR01.02 · 预防研究

CervicalMethDx : Precision risk stratification of high-risk HPV samples to reduce unnecessary colposcopy referrals and improve the quality of value-based care

海报缩略图:CervicalMethDx : Precision risk stratification of high-risk HPV samples to reduce unnecessary colposcopy referrals and improve the quality of value-based care
编号 5105 展板 19 时间 4/21 09:00–12:00 区域 Section 37 主讲 Yanira González Rodríguez, PhD
分会场 Early Detection and Interception
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作者与单位

Yanira González Rodríguez1, Ashley Ramos-Lopez1, Laura Palmieri2, Amanda Garcia-Negron1, Paola Quinonez-Mendez1, Guie Beeu Guerrero Hunt2, Alvaro Gutierrez Colima3, Carolina Teran4, Adhi Guerrero Thillet1, Mariana Brait2, Priscilla Brebi Mieville3, Carmen Ili5, Teresa Díaz-Montes6, Josefina Romaguera7, Bruce Trock8, David Sidransky9, Carolina Larronde3, Rafael E. Guerrero-Preston1

1LifeGene-Biomarks, Inc, San Juan, PR,2Oncology, Johns Hopkins Medical Insts., Baltimore, MD,3Center of Excellence in Translational Medicine (CEMT-BIOREN), Universidad de la Frontera, Temuco, Chile,4Facultad de Medicina, Universidad San Francisco Xavier of Chuquisaca,, Sucre, Bolivia, Plurinational State of,5Center of Excellence in Translational Medicine (CEMT-BIOREN), Universidad de La Frontera, Temuco, Chile,6Gynecologic Oncology Center, Mercy Medical Center, Baltimore, MD,7Obstetrics and Gynecology, University of Puerto Rico School of Medicine, San Juan, PR,8Brady Urological Institute,, Johns Hopkins Medical Insts., Baltimore, MD,9Lab Director, Otolaryngology, Johns Hopkins Medical Insts., Baltimore, MD

摘要 Abstract

Oncogenic human papillomavirus (hrHPV) screening identifies many transient infections, but few clinically significant precancers, generating high rates of unnecessary colposcopy referrals. In the United States, 70-80% of women referred for hrHPV-positive colposcopy lack actionable precancerous diagnoses. Given that >90% of hrHPV infections clear naturally within 12-24 months, there is an urgent need for objective molecular triage tools to optimize colposcopy-driven biopsy selection and enhance value-based cervical cancer care. The CervicalMethDx precision methylation platform was evaluated using 1,618 samples from IRB-approved studies across Puerto Rico, Latin America, and the United States. Independent datasets and specimen types were tested, including Digene and PreservCyt media, as well as self-collected vaginal swabs. Diagnostic performance metrics (sensitivity, specificity, AUC) were compared across CervicalMethDx assay versions (1.0 singleplex, 1.5 six-gene panel, 2.0 duplex). Cross-assay reproducibility and anatomic-site concordance were assessed using correlation and generalized estimating equation (GEE) models. CervicalMethDx 1.0 detected cervical intraepithelial neoplasia grade 2 or higher (CIN2+) lesions with 96% sensitivity, 84% specificity, and an area under the ROC curve (AUC) of 0.99 in hrHPV-positive Digene samples (n = 108, University of Puerto Rico). In the ESTAMPA Latin American trial (n = 759), CIN3+ detection reached 67% sensitivity, 59% specificity, and an AUC of 0.65. The CervicalMethDx 1.5 six-gene panel identified squamous intraepithelial lesion (SIL) cytology with 94% sensitivity, 57% specificity, and an AUC of 0.85 in CLIA-certified PreservCyt samples (n = 377). No significant methylation differences (p > 0.05) were observed between paired cervical and self-collected vaginal swabs (n = 100 each), demonstrating strong intra-individual concordance. ZNF516 methylation correlated across singleplex and duplex assays (r = 0.51, p = 0.01). GEE modeling showed a negative within-Pearson correlation (ρ = −0.64) between paired cervical and vaginal sites, confirming consistent site-dependent variation and reproducibility. CervicalMethDx provides a robust precision-methylation approach for risk stratification of hrHPV-positive samples with the potential to reduce unnecessary colposcopy referrals and biopsies. The assay's reproducibility across self-collected and clinician-collected specimens supports its potential integration into at-home hrHPV testing workflows, advancing equitable and value-based cervical cancer screening worldwide
利益披露 Disclosure
Y. González Rodríguez, None.. A. Ramos-Lopez, None.. L. Palmieri, None.. A. Garcia-Negron, None.. P. Quinonez-Mendez, None.. G. Guerrero Hunt, None.. A. Gutierrez Colima, None.. C. Teran, None.. A. Guerrero Thillet, None.. M. Brait, None.. P. Brebi Mieville, None.. C. Ili, None.. T. Díaz-Montes, None.. J. Romaguera, None.. B. Trock, None.. D. Sidransky, None.. C. Larronde, None.. R. E. Guerrero-Preston, None.

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