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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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.
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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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