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Evaluation of CIN2/3 Lesion Regression in GynTect® DNA Methylation-Marker-Negative Patients in a Longitudinal Study

Heike Hoyer, Claudia Stolte, Gerd Böhmer, Monika Hampl, Ingke Hagemann, Elisabeth Maier, Agnieszka Denecke, Christine Hirchenhain, Jan Patzke, Matthias Jentschke, Axel Gerick, Tabitha Heller, Juliane Hippe, Kristina Wunsch, Martina Schmitz, Matthias Dürst

2023Cancers13 citationsDOIOpen Access PDF

Abstract

Cervical intraepithelial neoplasia (CIN) grade 2/3 has a high spontaneous regression rate, especially among women ≤29 years of age. To reduce overtreatment, reliable prognostic biomarkers would be helpful. The main aim of this study was to analyze the negative predictive value of the methylation marker panel GynTect® for lesion regression. In this prospective, multicenter, longitudinal observational proof-of-concept study, women aged ≤29 years with histologically confirmed CIN2 (n = 24) or CIN3 (n = 36) were closely monitored without treatment for up to 24 or 12 months, respectively. The outcome was either regression, persistence, or progression of the lesion. For each patient, a single baseline sample (V0) for cytology, hrHPV detection and methylation analysis was taken. In a primary analysis, the negative predictive value (NPV) of a GynTect®-negative test result at V0 for regression was determined. We tested the null hypothesis NPV ≤ 70% against the alternative hypothesis NPV ≥ 90%. Twelve of the eighteen GynTect®-negative CIN2 patients showed regression (NPV = 67%, 90% CI 44–85%, p = 0.53). Of the 27 GynTect®-negative CIN3 lesions, 15 regressed (NPV = 56%, 90% CI 38–72%, p = 0.92). Although the majority of GynTect®-negative lesions regressed, the postulated NPV of ≥90% was not observed. Thus, the clinical relevance for an implementation of the GynTect® assay for patients undergoing watchful waiting remains questionable. Further studies with longer observation periods should be undertaken.

Topics & Concepts

DNA methylationLesionMethylationMedicineOncologyRegressionInternal medicineDNAPathologyBiologyGeneticsStatisticsMathematicsGeneGene expressionCervical Cancer and HPV ResearchCancer Genomics and DiagnosticsCancer-related molecular mechanisms research
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