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A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients

BACKGROUND: Men with a negative first prostate biopsy will undergo one or more additional biopsies if they remain at high suspicion of prostate cancer. To date, there are no diagnostic tests capable of identifying patients at risk for a positive diagnosis with the predictive power needed to eliminat...

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Autores principales: Brikun, Igor, Nusskern, Deborah, Gillen, Daniel, Lynn, Amy, Murtagh, Daniel, Feczko, John, Nelson, William G, Freije, Diha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278343/
https://www.ncbi.nlm.nih.gov/pubmed/25548652
http://dx.doi.org/10.1186/s40364-014-0025-9
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author Brikun, Igor
Nusskern, Deborah
Gillen, Daniel
Lynn, Amy
Murtagh, Daniel
Feczko, John
Nelson, William G
Freije, Diha
author_facet Brikun, Igor
Nusskern, Deborah
Gillen, Daniel
Lynn, Amy
Murtagh, Daniel
Feczko, John
Nelson, William G
Freije, Diha
author_sort Brikun, Igor
collection PubMed
description BACKGROUND: Men with a negative first prostate biopsy will undergo one or more additional biopsies if they remain at high suspicion of prostate cancer. To date, there are no diagnostic tests capable of identifying patients at risk for a positive diagnosis with the predictive power needed to eliminate unnecessary repeat biopsies. Efforts to develop clinical tests using the epigenetic signature of cores recovered from first biopsies have been limited to a few markers and lack the sensitivity and specificity needed for widespread clinical adoption. METHODS: We developed methylation-specific quantitative polymerase chain reaction assays for a panel of 24 markers that are preferentially methylated in prostate cancer. We modified the bisulfite conversion conditions to allow the integration of the methylation information from multiple markers. We determined the methylation status of the 24 markers in 213 prostate biopsy cores from 104 patients, 37 prostate cancer patients and 67 controls. We performed logistic regression on combinations of markers as well as the entire panel of 24 markers to identify the best candidates for a diagnostic test. RESULTS: The marker panel differentiated between cancer cores and benign cores from non-cancer patients with 100% sensitivity and 97% specificity. Furthermore, the panel detected significant methylation in benign cores from prostate cancer patients that was not present in controls. Using methylation of 5 out of 24 to define a cancer case, the analysis of a single benign biopsy core identified 62% of prostate cancer patients undergoing repeat biopsies. ROC curve analysis showed that markers commonly methylated in benign cores from cancer patients are the best candidates for a diagnostic test. The results suggest that 5 to 10 markers will be needed to achieve optimal predictive power. CONCLUSIONS: This study shows that epigenetic field effects differ significantly between cancer patients and controls. Their detection in benign biopsy cores can form the basis of diagnostic tests to identify patients in need of repeat biopsies, reducing the cost of continued PCA screening by up to 40%. They could also be used to identify prostate cancer patients with low grade disease who are likely candidates for active surveillance or focal therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40364-014-0025-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-42783432014-12-30 A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients Brikun, Igor Nusskern, Deborah Gillen, Daniel Lynn, Amy Murtagh, Daniel Feczko, John Nelson, William G Freije, Diha Biomark Res Research BACKGROUND: Men with a negative first prostate biopsy will undergo one or more additional biopsies if they remain at high suspicion of prostate cancer. To date, there are no diagnostic tests capable of identifying patients at risk for a positive diagnosis with the predictive power needed to eliminate unnecessary repeat biopsies. Efforts to develop clinical tests using the epigenetic signature of cores recovered from first biopsies have been limited to a few markers and lack the sensitivity and specificity needed for widespread clinical adoption. METHODS: We developed methylation-specific quantitative polymerase chain reaction assays for a panel of 24 markers that are preferentially methylated in prostate cancer. We modified the bisulfite conversion conditions to allow the integration of the methylation information from multiple markers. We determined the methylation status of the 24 markers in 213 prostate biopsy cores from 104 patients, 37 prostate cancer patients and 67 controls. We performed logistic regression on combinations of markers as well as the entire panel of 24 markers to identify the best candidates for a diagnostic test. RESULTS: The marker panel differentiated between cancer cores and benign cores from non-cancer patients with 100% sensitivity and 97% specificity. Furthermore, the panel detected significant methylation in benign cores from prostate cancer patients that was not present in controls. Using methylation of 5 out of 24 to define a cancer case, the analysis of a single benign biopsy core identified 62% of prostate cancer patients undergoing repeat biopsies. ROC curve analysis showed that markers commonly methylated in benign cores from cancer patients are the best candidates for a diagnostic test. The results suggest that 5 to 10 markers will be needed to achieve optimal predictive power. CONCLUSIONS: This study shows that epigenetic field effects differ significantly between cancer patients and controls. Their detection in benign biopsy cores can form the basis of diagnostic tests to identify patients in need of repeat biopsies, reducing the cost of continued PCA screening by up to 40%. They could also be used to identify prostate cancer patients with low grade disease who are likely candidates for active surveillance or focal therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40364-014-0025-9) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-12 /pmc/articles/PMC4278343/ /pubmed/25548652 http://dx.doi.org/10.1186/s40364-014-0025-9 Text en © Brikun et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Brikun, Igor
Nusskern, Deborah
Gillen, Daniel
Lynn, Amy
Murtagh, Daniel
Feczko, John
Nelson, William G
Freije, Diha
A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
title A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
title_full A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
title_fullStr A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
title_full_unstemmed A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
title_short A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
title_sort panel of dna methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278343/
https://www.ncbi.nlm.nih.gov/pubmed/25548652
http://dx.doi.org/10.1186/s40364-014-0025-9
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