The evolutionary history of tumor cell populations can be reconstructed from patterns of genetic alterations. In contrast to stable genetic events, epigenetic states are reversible and sensitive to the microenvironment, prompting the question whether epigenetic information can similarly be used to discover tumor phylogeny. We examined the spatial and temporal dynamics of DNA methylation in a cohort of low-grade gliomas and their patient-matched recurrences. Genes transcriptionally upregulated through promoter hypomethylation during malignant progression to high-grade glioblastoma were enriched in cell cycle function, evolving in parallel with genetic alterations that deregulate the G1/S cell cycle checkpoint. Moreover, phyloepigenetic relationships robustly recapitulated phylogenetic patterns inferred from somatic mutations. These findings highlight widespread co-dependency of genetic and epigenetic events throughout brain tumor evolution.
Description
DNA Methylation and Somatic Mutations Converge on the Cell Cycle and Define Similar Evolutionary Histories in Brain Tumors: Cancer Cell
%0 Journal Article
%1 mazor2015methylation
%A Mazor, Tali
%A Pankov, Aleksandr
%A Johnson, Brett E
%A Hong, Chibo
%A Hamilton, Emily G
%A Bell, Robert J.A
%A Smirnov, Ivan V
%A Reis, Gerald F
%A Phillips, Joanna J
%A Barnes, Michael J
%A Idbaih, Ahmed
%A Alentorn, Agusti
%A Kloezeman, Jenneke J
%A Lamfers, Martine L.M
%A Bollen, Andrew W
%A Taylor, Barry S
%A Molinaro, Annette M
%A Olshen, Adam B
%A Chang, Susan M
%A Song, Jun S
%A Costello, Joseph F
%B Cancer Cell
%D 2015
%I Elsevier
%J Cancer Cell
%K cancer-research glioma methy methylation mutation shouldread survival
%N 3
%P 307--317
%R 10.1016/j.ccell.2015.07.012
%T DNA Methylation and Somatic Mutations Converge on the Cell Cycle and Define Similar Evolutionary Histories in Brain Tumors
%U https://doi.org/10.1016/j.ccell.2015.07.012
%V 28
%X The evolutionary history of tumor cell populations can be reconstructed from patterns of genetic alterations. In contrast to stable genetic events, epigenetic states are reversible and sensitive to the microenvironment, prompting the question whether epigenetic information can similarly be used to discover tumor phylogeny. We examined the spatial and temporal dynamics of DNA methylation in a cohort of low-grade gliomas and their patient-matched recurrences. Genes transcriptionally upregulated through promoter hypomethylation during malignant progression to high-grade glioblastoma were enriched in cell cycle function, evolving in parallel with genetic alterations that deregulate the G1/S cell cycle checkpoint. Moreover, phyloepigenetic relationships robustly recapitulated phylogenetic patterns inferred from somatic mutations. These findings highlight widespread co-dependency of genetic and epigenetic events throughout brain tumor evolution.
@article{mazor2015methylation,
abstract = {The evolutionary history of tumor cell populations can be reconstructed from patterns of genetic alterations. In contrast to stable genetic events, epigenetic states are reversible and sensitive to the microenvironment, prompting the question whether epigenetic information can similarly be used to discover tumor phylogeny. We examined the spatial and temporal dynamics of DNA methylation in a cohort of low-grade gliomas and their patient-matched recurrences. Genes transcriptionally upregulated through promoter hypomethylation during malignant progression to high-grade glioblastoma were enriched in cell cycle function, evolving in parallel with genetic alterations that deregulate the G1/S cell cycle checkpoint. Moreover, phyloepigenetic relationships robustly recapitulated phylogenetic patterns inferred from somatic mutations. These findings highlight widespread co-dependency of genetic and epigenetic events throughout brain tumor evolution.},
added-at = {2019-06-06T08:49:45.000+0200},
author = {Mazor, Tali and Pankov, Aleksandr and Johnson, Brett E and Hong, Chibo and Hamilton, Emily G and Bell, Robert J.A and Smirnov, Ivan V and Reis, Gerald F and Phillips, Joanna J and Barnes, Michael J and Idbaih, Ahmed and Alentorn, Agusti and Kloezeman, Jenneke J and Lamfers, Martine L.M and Bollen, Andrew W and Taylor, Barry S and Molinaro, Annette M and Olshen, Adam B and Chang, Susan M and Song, Jun S and Costello, Joseph F},
biburl = {https://www.bibsonomy.org/bibtex/230b3be9458d5453e27298f4e44285e61/marcsaric},
booktitle = {Cancer Cell},
comment = {doi: 10.1016/j.ccell.2015.07.012},
description = {DNA Methylation and Somatic Mutations Converge on the Cell Cycle and Define Similar Evolutionary Histories in Brain Tumors: Cancer Cell},
doi = {10.1016/j.ccell.2015.07.012},
interhash = {fd63e24f86759bd122bb17c061c33dad},
intrahash = {30b3be9458d5453e27298f4e44285e61},
issn = {15356108},
journal = {Cancer Cell},
keywords = {cancer-research glioma methy methylation mutation shouldread survival},
month = sep,
number = 3,
pages = {307--317},
publisher = {Elsevier},
timestamp = {2019-06-06T08:49:45.000+0200},
title = {DNA Methylation and Somatic Mutations Converge on the Cell Cycle and Define Similar Evolutionary Histories in Brain Tumors},
url = {https://doi.org/10.1016/j.ccell.2015.07.012},
volume = 28,
year = 2015
}