Evidence map›Paper›PMID 37558831›Full record

ArticleCommunications biology2023

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

Alexander Joschua Ohnmacht, Anantharamanan Rajamani, Göksu Avar, Ginte Kutkaite, Emanuel Gonçalves, Dieter Saur, Michael Patrick Menden

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Alexander Joschua OhnmachtComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Anantharamanan RajamaniDivision of Translational Cancer Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Göksu AvarComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-2387-1154
Ginte KutkaiteComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-2918-294X
Emanuel GonçalvesInstituto Superior Técnico (IST), Universidade de Lisboa, 1049-001, Lisbon, Portugal.
Dieter SaurDivision of Translational Cancer Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-5874-0210
Michael Patrick MendenComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany. michael.menden@helmholtz-munich.de.ORCID http://orcid.org/0000-0003-0267-5792
Helmholtz Zentrum München · DEGerman Cancer Research Center · DEFederation University · AUInstituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

EpigenomicsMelanomaCell Line, TumorDNA MethylationEpigenesis, GeneticHumansNIMA-Related KinasesPrecision MedicineNEK9 protein, humanNIMA-Related Kinases

Identifiers

PMID37558831
PMCPMC10412573
OpenAlexW4385700871

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.