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Searching HPV genome for methylation sites involved in molecular progression to cervical precancer

Background: Human Papilloma Virus has been considered as the main cause for cervical cancer. In this study we investigated epigenetic changes and especially methylation of specific sites of HPV genome. The main goal was to correlate methylation status with histological grade as well as to determine...

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Autores principales: Kottaridi, Christine, Leventakou, Danai, Pouliakis, Abraham, Pergialiotis, Vasileios, Chrelias, George, Patsouri, Eugenia, Zacharatou, Andriani, Panopoulou, Eleni, Damaskou, Vasileia, Sioulas, Vasileios, Chrelias, Charalambos, Kalantaridou, Sofia, Panayiotides, Ioannis G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746133/
https://www.ncbi.nlm.nih.gov/pubmed/31528222
http://dx.doi.org/10.7150/jca.30081
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author Kottaridi, Christine
Leventakou, Danai
Pouliakis, Abraham
Pergialiotis, Vasileios
Chrelias, George
Patsouri, Eugenia
Zacharatou, Andriani
Panopoulou, Eleni
Damaskou, Vasileia
Sioulas, Vasileios
Chrelias, Charalambos
Kalantaridou, Sofia
Panayiotides, Ioannis G.
author_facet Kottaridi, Christine
Leventakou, Danai
Pouliakis, Abraham
Pergialiotis, Vasileios
Chrelias, George
Patsouri, Eugenia
Zacharatou, Andriani
Panopoulou, Eleni
Damaskou, Vasileia
Sioulas, Vasileios
Chrelias, Charalambos
Kalantaridou, Sofia
Panayiotides, Ioannis G.
author_sort Kottaridi, Christine
collection PubMed
description Background: Human Papilloma Virus has been considered as the main cause for cervical cancer. In this study we investigated epigenetic changes and especially methylation of specific sites of HPV genome. The main goal was to correlate methylation status with histological grade as well as to determine its accuracy in predicting the disease severity by establishing optimum methylation cutoffs. Methods: In total, sections from 145 cases genotyped as HPV16 were obtained from formalin- fixed, paraffin-embedded tissue of cervical biopsies, conization or hysterectomy specimens. Highly accurate pyrosequencing of bisulfite converted DNA, was used to quantify the methylation percentages of UTR promoter, enhancer and 5' UTR, E6 CpGs 494, 502, 506 and E7 CpGs 765, 780, 790. The samples were separated in different groupings based on the histological outcome. Statistical analysis was performed by SAS 9.4 for Windows and methylation cutoffs were identified by MATLAB programming language. Results: The most important methylation sites were at the enhancer and especially UTR 7535 and 7553 sites. Specifically for CIN3+ (i.e. HSIL or SCC) discrimination, a balanced sensitivity vs. specificity (68.1%, 66.2% respectively) with positive predictive value (PPV) and negative predictive value (NPV) (66.2%, 68.2% respectively) was achieved for UTR 7535 methylation of 6.1% cutoff with overall accuracy 67.1%, while for UTR 7553 a sensitivity 60.9%, specificity 69.0%, PPV=65.6%, NPV=64.5% and overall accuracy=65.0% at threshold 10.1% was observed. Conclusion: Viral HPV16 genome was found methylated in NF-1 binding sites of UTR in cases with high grade disease. Methylation percentages of E6 and E7 CpG sites were elevated at the cancer group.
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spelling pubmed-67461332019-09-16 Searching HPV genome for methylation sites involved in molecular progression to cervical precancer Kottaridi, Christine Leventakou, Danai Pouliakis, Abraham Pergialiotis, Vasileios Chrelias, George Patsouri, Eugenia Zacharatou, Andriani Panopoulou, Eleni Damaskou, Vasileia Sioulas, Vasileios Chrelias, Charalambos Kalantaridou, Sofia Panayiotides, Ioannis G. J Cancer Research Paper Background: Human Papilloma Virus has been considered as the main cause for cervical cancer. In this study we investigated epigenetic changes and especially methylation of specific sites of HPV genome. The main goal was to correlate methylation status with histological grade as well as to determine its accuracy in predicting the disease severity by establishing optimum methylation cutoffs. Methods: In total, sections from 145 cases genotyped as HPV16 were obtained from formalin- fixed, paraffin-embedded tissue of cervical biopsies, conization or hysterectomy specimens. Highly accurate pyrosequencing of bisulfite converted DNA, was used to quantify the methylation percentages of UTR promoter, enhancer and 5' UTR, E6 CpGs 494, 502, 506 and E7 CpGs 765, 780, 790. The samples were separated in different groupings based on the histological outcome. Statistical analysis was performed by SAS 9.4 for Windows and methylation cutoffs were identified by MATLAB programming language. Results: The most important methylation sites were at the enhancer and especially UTR 7535 and 7553 sites. Specifically for CIN3+ (i.e. HSIL or SCC) discrimination, a balanced sensitivity vs. specificity (68.1%, 66.2% respectively) with positive predictive value (PPV) and negative predictive value (NPV) (66.2%, 68.2% respectively) was achieved for UTR 7535 methylation of 6.1% cutoff with overall accuracy 67.1%, while for UTR 7553 a sensitivity 60.9%, specificity 69.0%, PPV=65.6%, NPV=64.5% and overall accuracy=65.0% at threshold 10.1% was observed. Conclusion: Viral HPV16 genome was found methylated in NF-1 binding sites of UTR in cases with high grade disease. Methylation percentages of E6 and E7 CpG sites were elevated at the cancer group. Ivyspring International Publisher 2019-08-07 /pmc/articles/PMC6746133/ /pubmed/31528222 http://dx.doi.org/10.7150/jca.30081 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Kottaridi, Christine
Leventakou, Danai
Pouliakis, Abraham
Pergialiotis, Vasileios
Chrelias, George
Patsouri, Eugenia
Zacharatou, Andriani
Panopoulou, Eleni
Damaskou, Vasileia
Sioulas, Vasileios
Chrelias, Charalambos
Kalantaridou, Sofia
Panayiotides, Ioannis G.
Searching HPV genome for methylation sites involved in molecular progression to cervical precancer
title Searching HPV genome for methylation sites involved in molecular progression to cervical precancer
title_full Searching HPV genome for methylation sites involved in molecular progression to cervical precancer
title_fullStr Searching HPV genome for methylation sites involved in molecular progression to cervical precancer
title_full_unstemmed Searching HPV genome for methylation sites involved in molecular progression to cervical precancer
title_short Searching HPV genome for methylation sites involved in molecular progression to cervical precancer
title_sort searching hpv genome for methylation sites involved in molecular progression to cervical precancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746133/
https://www.ncbi.nlm.nih.gov/pubmed/31528222
http://dx.doi.org/10.7150/jca.30081
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