Methylation in Predicting Progression of Untreated High-grade Cervical Intraepithelial Neoplasia

Author:

Louvanto Karolina123ORCID,Aro Karoliina3,Nedjai Belinda2,Bützow Ralf4,Jakobsson Maija3,Kalliala Ilkka35,Dillner Joakim6,Nieminen Pekka3,Lorincz Attila2

Affiliation:

1. Department of Obstetrics and Gynecology, Turku University Hospital, University of Turku, Turku, Finland

2. Center for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom

3. Department of Obstetrics and Gynecology, Finland

4. Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

5. Department of Surgery & Cancer, Institute of Reproductive and Developmental Biology, Faculty of Medicine, Imperial College, London, United Kingdom

6. Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden

Abstract

Abstract Background There is no prognostic test to ascertain whether cervical intraepithelial neoplasias (CINs) regress or progress. The majority of CINs regress in young women, and treatments increase the risk of adverse pregnancy outcomes. We investigated the ability of a DNA methylation panel (the S5 classifier) to discriminate between outcomes among young women with untreated CIN grade 2 (CIN2). Methods Baseline pyrosequencing methylation and human papillomavirus (HPV) genotyping assays were performed on cervical cells from 149 women with CIN2 in a 2-year cohort study of active surveillance. Results Twenty-five lesions progressed to CIN grade 3 or worse, 88 regressed to less than CIN grade 1, and 36 persisted as CIN1/2. When cytology, HPV16/18 and HPV16/18/31/33 genotyping, and the S5 classifier were compared to outcomes, the S5 classifier was the strongest biomarker associated with regression vs progression. The S5 classifier alone or in combination with HPV16/18/31/33 genotyping also showed significantly increased sensitivity vs cytology when comparing regression vs persistence/progression. With both the S5 classifier and cytology set at a specificity of 38.6% (95% confidence interval [CI], 28.4–49.6), the sensitivity of the S5 classifier was significantly higher (83.6%; 95% CI, 71.9–91.8) than of cytology (62.3%; 95% CI, 49.0–74.4; P = 0.005). The highest area under the curve was 0.735 (95% CI, 0.621–0.849) in comparing regression vs progression with a combination of the S5 classifier and cytology, whereas HPV genotyping did not provide additional information. Conclusions The S5 classifier shows high potential as a prognostic biomarker to identify progressive CIN2.

Funder

Sigrid Jusélius Foundation

Finnish Medical Foundation

Helsinki and Uusimaa Hospital District

Cancer Foundation

Cancer Research UK

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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