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Identifying aggressive prostate cancer foci using a DNA methylation classifier
BACKGROUND: Slow-growing prostate cancer (PC) can be aggressive in a subset of cases. Therefore, prognostic tools to guide clinical decision-making and avoid overtreatment of indolent PC and undertreatment of aggressive disease are urgently needed. PC has a propensity to be multifocal with several d...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5234101/ https://www.ncbi.nlm.nih.gov/pubmed/28081708 http://dx.doi.org/10.1186/s13059-016-1129-3 |
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author | Mundbjerg, Kamilla Chopra, Sameer Alemozaffar, Mehrdad Duymich, Christopher Lakshminarasimhan, Ranjani Nichols, Peter W. Aron, Manju Siegmund, Kimberly D. Ukimura, Osamu Aron, Monish Stern, Mariana Gill, Parkash Carpten, John D. Ørntoft, Torben F. Sørensen, Karina D. Weisenberger, Daniel J. Jones, Peter A. Duddalwar, Vinay Gill, Inderbir Liang, Gangning |
author_facet | Mundbjerg, Kamilla Chopra, Sameer Alemozaffar, Mehrdad Duymich, Christopher Lakshminarasimhan, Ranjani Nichols, Peter W. Aron, Manju Siegmund, Kimberly D. Ukimura, Osamu Aron, Monish Stern, Mariana Gill, Parkash Carpten, John D. Ørntoft, Torben F. Sørensen, Karina D. Weisenberger, Daniel J. Jones, Peter A. Duddalwar, Vinay Gill, Inderbir Liang, Gangning |
author_sort | Mundbjerg, Kamilla |
collection | PubMed |
description | BACKGROUND: Slow-growing prostate cancer (PC) can be aggressive in a subset of cases. Therefore, prognostic tools to guide clinical decision-making and avoid overtreatment of indolent PC and undertreatment of aggressive disease are urgently needed. PC has a propensity to be multifocal with several different cancerous foci per gland. RESULTS: Here, we have taken advantage of the multifocal propensity of PC and categorized aggressiveness of individual PC foci based on DNA methylation patterns in primary PC foci and matched lymph node metastases. In a set of 14 patients, we demonstrate that over half of the cases have multiple epigenetically distinct subclones and determine the primary subclone from which the metastatic lesion(s) originated. Furthermore, we develop an aggressiveness classifier consisting of 25 DNA methylation probes to determine aggressive and non-aggressive subclones. Upon validation of the classifier in an independent cohort, the predicted aggressive tumors are significantly associated with the presence of lymph node metastases and invasive tumor stages. CONCLUSIONS: Overall, this study provides molecular-based support for determining PC aggressiveness with the potential to impact clinical decision-making, such as targeted biopsy approaches for early diagnosis and active surveillance, in addition to focal therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1129-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5234101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52341012017-01-17 Identifying aggressive prostate cancer foci using a DNA methylation classifier Mundbjerg, Kamilla Chopra, Sameer Alemozaffar, Mehrdad Duymich, Christopher Lakshminarasimhan, Ranjani Nichols, Peter W. Aron, Manju Siegmund, Kimberly D. Ukimura, Osamu Aron, Monish Stern, Mariana Gill, Parkash Carpten, John D. Ørntoft, Torben F. Sørensen, Karina D. Weisenberger, Daniel J. Jones, Peter A. Duddalwar, Vinay Gill, Inderbir Liang, Gangning Genome Biol Research BACKGROUND: Slow-growing prostate cancer (PC) can be aggressive in a subset of cases. Therefore, prognostic tools to guide clinical decision-making and avoid overtreatment of indolent PC and undertreatment of aggressive disease are urgently needed. PC has a propensity to be multifocal with several different cancerous foci per gland. RESULTS: Here, we have taken advantage of the multifocal propensity of PC and categorized aggressiveness of individual PC foci based on DNA methylation patterns in primary PC foci and matched lymph node metastases. In a set of 14 patients, we demonstrate that over half of the cases have multiple epigenetically distinct subclones and determine the primary subclone from which the metastatic lesion(s) originated. Furthermore, we develop an aggressiveness classifier consisting of 25 DNA methylation probes to determine aggressive and non-aggressive subclones. Upon validation of the classifier in an independent cohort, the predicted aggressive tumors are significantly associated with the presence of lymph node metastases and invasive tumor stages. CONCLUSIONS: Overall, this study provides molecular-based support for determining PC aggressiveness with the potential to impact clinical decision-making, such as targeted biopsy approaches for early diagnosis and active surveillance, in addition to focal therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1129-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-12 /pmc/articles/PMC5234101/ /pubmed/28081708 http://dx.doi.org/10.1186/s13059-016-1129-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Mundbjerg, Kamilla Chopra, Sameer Alemozaffar, Mehrdad Duymich, Christopher Lakshminarasimhan, Ranjani Nichols, Peter W. Aron, Manju Siegmund, Kimberly D. Ukimura, Osamu Aron, Monish Stern, Mariana Gill, Parkash Carpten, John D. Ørntoft, Torben F. Sørensen, Karina D. Weisenberger, Daniel J. Jones, Peter A. Duddalwar, Vinay Gill, Inderbir Liang, Gangning Identifying aggressive prostate cancer foci using a DNA methylation classifier |
title | Identifying aggressive prostate cancer foci using a DNA methylation classifier |
title_full | Identifying aggressive prostate cancer foci using a DNA methylation classifier |
title_fullStr | Identifying aggressive prostate cancer foci using a DNA methylation classifier |
title_full_unstemmed | Identifying aggressive prostate cancer foci using a DNA methylation classifier |
title_short | Identifying aggressive prostate cancer foci using a DNA methylation classifier |
title_sort | identifying aggressive prostate cancer foci using a dna methylation classifier |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5234101/ https://www.ncbi.nlm.nih.gov/pubmed/28081708 http://dx.doi.org/10.1186/s13059-016-1129-3 |
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