Rianne van den Helder , Nienke E. van Trommel , Annina P. van Splunter , Birgit I. Lissenberg-Witte , Maaike C.G. Bleeker , Renske D.M. Steenbergen
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We determined Spearman correlation coefficients between fractions, compared methylation levels and calculated AUCs for CIN3 and cancer detection.</p></div><div><h3>Results</h3><p>In general strong correlations (r > 0.60) were found between urine fractions. Methylation levels increased significantly with severity of underlying disease in all urine fractions. CIN3 and controls differed significantly for 2 markers in full void urine, 4 markers in urine sediment and 1 marker in urine supernatant, with AUCs of 0.55–0.79. Comparison of cancer to controls was highly significant for all markers in all fractions, yielding AUCs of 0.87–0.99.</p></div><div><h3>Conclusion</h3><p>Methylation analysis performs excellent in all urine fractions for cervical cancer detection. Our results indicate the potential of CIN3 detection by urinary methylation analysis, and demonstrate that urine sediment performs best to detect CIN3.</p></div>","PeriodicalId":46835,"journal":{"name":"Papillomavirus Research","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pvr.2020.100193","citationCount":"14","resultStr":"{\"title\":\"Methylation analysis in urine fractions for optimal CIN3 and cervical cancer detection\",\"authors\":\"Rianne van den Helder , Nienke E. van Trommel , Annina P. van Splunter , Birgit I. Lissenberg-Witte , Maaike C.G. Bleeker , Renske D.M. Steenbergen\",\"doi\":\"10.1016/j.pvr.2020.100193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Urine sampling is an interesting solution for CIN3 and cervical cancer detection. Urine can be separated in different fractions: full void urine, urine sediment and urine supernatant. We aimed to determine which urine fraction is most competent for CIN3 and cervical cancer detection by methylation analysis.</p></div><div><h3>Methods</h3><p>Urine samples (27 controls, 30 CIN3 and 17 cervical cancer) were processed into 3 fractions and tested for 5 methylation markers (<em>ASCL1</em>, <em>GHSR</em>, <em>LHX8</em>, <em>SST</em>, <em>ZIC1</em>). We determined Spearman correlation coefficients between fractions, compared methylation levels and calculated AUCs for CIN3 and cancer detection.</p></div><div><h3>Results</h3><p>In general strong correlations (r > 0.60) were found between urine fractions. Methylation levels increased significantly with severity of underlying disease in all urine fractions. CIN3 and controls differed significantly for 2 markers in full void urine, 4 markers in urine sediment and 1 marker in urine supernatant, with AUCs of 0.55–0.79. Comparison of cancer to controls was highly significant for all markers in all fractions, yielding AUCs of 0.87–0.99.</p></div><div><h3>Conclusion</h3><p>Methylation analysis performs excellent in all urine fractions for cervical cancer detection. 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Methylation analysis in urine fractions for optimal CIN3 and cervical cancer detection
Introduction
Urine sampling is an interesting solution for CIN3 and cervical cancer detection. Urine can be separated in different fractions: full void urine, urine sediment and urine supernatant. We aimed to determine which urine fraction is most competent for CIN3 and cervical cancer detection by methylation analysis.
Methods
Urine samples (27 controls, 30 CIN3 and 17 cervical cancer) were processed into 3 fractions and tested for 5 methylation markers (ASCL1, GHSR, LHX8, SST, ZIC1). We determined Spearman correlation coefficients between fractions, compared methylation levels and calculated AUCs for CIN3 and cancer detection.
Results
In general strong correlations (r > 0.60) were found between urine fractions. Methylation levels increased significantly with severity of underlying disease in all urine fractions. CIN3 and controls differed significantly for 2 markers in full void urine, 4 markers in urine sediment and 1 marker in urine supernatant, with AUCs of 0.55–0.79. Comparison of cancer to controls was highly significant for all markers in all fractions, yielding AUCs of 0.87–0.99.
Conclusion
Methylation analysis performs excellent in all urine fractions for cervical cancer detection. Our results indicate the potential of CIN3 detection by urinary methylation analysis, and demonstrate that urine sediment performs best to detect CIN3.
期刊介绍：
The official Journal of the International Papillomavirus Society Papillomavirus Research (PVR), the Journal of HPV and other Small DNA Tumor Viruses publishes innovative papers related to all aspects of papillomaviruses and other small DNA tumor viruses. The official journal of the International Papillomavirus Society, PVR is an open access publication that aims to bring together virologists, immunologists, epidemiologists and clinicians working in the booming field of HPV and animal papillomaviruses, polyomaviruses and other small DNA tumor viruses and their associated diseases, in order to foster and facilitate interdisciplinary communication. The journal welcomes original research articles, reviews, short communications, opinion articles and regional update reports on papillomaviruses and other tumor viruses in the following sections: a. Biology of papillomaviruses and related viruses from life cycle to cancer b. Epidemiology etiology and natural history studies c. Natural and induced immunity including vaccine research d. Intervention studies and strategies including i. Clinical studies and trials ii. HPV treatments iii. HPV vaccination programs iv. Diagnostics and screening e. Infection and disease prevention, modeling studies f. Guidelines and public health recommendations g. HPV Studies in special populations Regional and local studies on these viruses.
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