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

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作者
Alexander Joschua Ohnmacht
Anantharamanan Rajamani
Göksu Avar
Ginte Kutkaite
Emanuel Gonçalves
Dieter Saur
Michael Patrick Menden
机构
[1] Helmholtz Munich,Computational Health Center
[2] Ludwig-Maximilians University Munich,Department of Biology
[3] German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK),Division of Translational Cancer Research
[4] Technische Universität München,Chair of Translational Cancer Research and Institute of Experimental Cancer Therapy, Klinikum rechts der Isar, School of Medicine
[5] Center for Translational Cancer Research (TranslaTUM),Instituto Superior Técnico (IST)
[6] School of Medicine,Department of Biochemistry and Pharmacology
[7] Technical University of Munich,undefined
[8] Universidade de Lisboa,undefined
[9] INESC-ID,undefined
[10] University of Melbourne,undefined
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摘要
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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