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The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity

Aberrant DNA methylation accompanies genetic alterations during oncogenesis and tumour homeostasis and contributes to the transcriptional deregulation of key signalling pathways in cancer. Despite increasing efforts in DNA methylation profiling of cancer patients, there is still a lack of epigenetic...

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Autores principales: Ohnmacht, Alexander Joschua, Rajamani, Anantharamanan, Avar, Göksu, Kutkaite, Ginte, Gonçalves, Emanuel, Saur, Dieter, Menden, Michael Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412573/
https://www.ncbi.nlm.nih.gov/pubmed/37558831
http://dx.doi.org/10.1038/s42003-023-05198-y
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author Ohnmacht, Alexander Joschua
Rajamani, Anantharamanan
Avar, Göksu
Kutkaite, Ginte
Gonçalves, Emanuel
Saur, Dieter
Menden, Michael Patrick
author_facet Ohnmacht, Alexander Joschua
Rajamani, Anantharamanan
Avar, Göksu
Kutkaite, Ginte
Gonçalves, Emanuel
Saur, Dieter
Menden, Michael Patrick
author_sort Ohnmacht, Alexander Joschua
collection PubMed
description Aberrant DNA methylation accompanies genetic alterations during oncogenesis and tumour homeostasis and contributes to the transcriptional deregulation of key signalling pathways in cancer. Despite increasing efforts in DNA methylation profiling of cancer patients, there is still a lack of epigenetic biomarkers to predict treatment efficacy. To address this, we analyse 721 cancer cell lines across 22 cancer types treated with 453 anti-cancer compounds. We systematically detect the predictive component of DNA methylation in the context of transcriptional and mutational patterns, i.e., in total 19 DNA methylation biomarkers across 17 drugs and five cancer types. DNA methylation constitutes drug sensitivity biomarkers by mediating the expression of proximal genes, thereby enhancing biological signals across multi-omics data modalities. Our method reproduces anticipated associations, and in addition, we find that the NEK9 promoter hypermethylation may confer sensitivity to the NEDD8-activating enzyme (NAE) inhibitor pevonedistat in melanoma through downregulation of NEK9. In summary, we envision that epigenomics will refine existing patient stratification, thus empowering the next generation of precision oncology.
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spelling pubmed-104125732023-08-11 The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity Ohnmacht, Alexander Joschua Rajamani, Anantharamanan Avar, Göksu Kutkaite, Ginte Gonçalves, Emanuel Saur, Dieter Menden, Michael Patrick Commun Biol Article Aberrant DNA methylation accompanies genetic alterations during oncogenesis and tumour homeostasis and contributes to the transcriptional deregulation of key signalling pathways in cancer. Despite increasing efforts in DNA methylation profiling of cancer patients, there is still a lack of epigenetic biomarkers to predict treatment efficacy. To address this, we analyse 721 cancer cell lines across 22 cancer types treated with 453 anti-cancer compounds. We systematically detect the predictive component of DNA methylation in the context of transcriptional and mutational patterns, i.e., in total 19 DNA methylation biomarkers across 17 drugs and five cancer types. DNA methylation constitutes drug sensitivity biomarkers by mediating the expression of proximal genes, thereby enhancing biological signals across multi-omics data modalities. Our method reproduces anticipated associations, and in addition, we find that the NEK9 promoter hypermethylation may confer sensitivity to the NEDD8-activating enzyme (NAE) inhibitor pevonedistat in melanoma through downregulation of NEK9. In summary, we envision that epigenomics will refine existing patient stratification, thus empowering the next generation of precision oncology. Nature Publishing Group UK 2023-08-09 /pmc/articles/PMC10412573/ /pubmed/37558831 http://dx.doi.org/10.1038/s42003-023-05198-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ohnmacht, Alexander Joschua
Rajamani, Anantharamanan
Avar, Göksu
Kutkaite, Ginte
Gonçalves, Emanuel
Saur, Dieter
Menden, Michael Patrick
The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity
title The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity
title_full The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity
title_fullStr The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity
title_full_unstemmed The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity
title_short The pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity
title_sort pharmacoepigenomic landscape of cancer cell lines reveals the epigenetic component of drug sensitivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412573/
https://www.ncbi.nlm.nih.gov/pubmed/37558831
http://dx.doi.org/10.1038/s42003-023-05198-y
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