Evidence map›Paper›PMID 30400878›Full record

ArticleBMC medical genomics2018

A pan-cancer analysis of driver gene mutations, DNA methylation and gene expressions reveals that chromatin remodeling is a major mechanism inducing global changes in cancer epigenomes.

Ahrim Youn, Kyung In Kim, Raul Rabadan, Benjamin Tycko, Yufeng Shen, Shuang Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  8. Characterization of Epigenomic Alterations in HPV16+ Head and Neck Squamous Cell Carcinomas.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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

6 authors at 4 institutions in 1 country.

Ahrim YounDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.
Kyung In KimThe Jackson Laboratory For Genomic Medicine, Farmington, Connecticut, USA.
Raul RabadanDepartment of System Biology, Columbia University, New York, New York, USA.
Benjamin TyckoDivision of Genetics & Epigenetics, Hackensack University Medical Center, Hackensack, New Jersey, USA.
Yufeng ShenDepartment of System Biology, Columbia University, New York, New York, USA.
Shuang WangDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA. sw2206@columbia.edu.ORCID 0000-0002-1693-6888
Columbia University · USJackson Laboratory · USHackensack University Medical Center · USNew York Genome Center · US

Funding

Integrate cancer genomics data in geneticstudies and diagnosis of developmental disordersR01GM120609 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEN, YUFENG · 2017 to 2021
$1.7M
NIGMS NIH HHS R01 GM120609
6 · The paper itself

Abstract

backgroundRecent large-scale cancer sequencing studies have discovered many novel cancer driver genes (CDGs) in human cancers. Some studies also suggest that CDG mutations contribute to cancer-associated epigenomic and transcriptomic alterations across many cancer types. Here we aim to improve our understanding of the connections between CDG mutations and altered cancer cell epigenomes and transcriptomes on pan-cancer level and how these connections contribute to the known association between epigenome and transcriptome.

methodUsing multi-omics data including somatic mutation, DNA methylation, and gene expression data of 20 cancer types from The Cancer Genome Atlas (TCGA) project, we conducted a pan-cancer analysis to identify CDGs, when mutated, have strong associations with genome-wide methylation or expression changes across cancer types, which we refer as methylation driver genes (MDGs) or expression driver genes (EDGs), respectively.

resultsWe identified 32 MDGs, among which, eight are known chromatin modification or remodeling genes. Many of the remaining 24 MDGs are connected to chromatin regulators through either regulating their transcription or physically interacting with them as potential co-factors. We identified 29 EDGs, 26 of which are also MDGs. Further investigation on target genes' promoters methylation and expression alteration patterns of these 26 overlapping driver genes shows that hyper-methylation of target genes' promoters are significantly associated with down-regulation of the same target genes and hypo-methylation of target genes' promoters are significantly associated with up-regulation of the same target genes.

conclusionThis finding suggests a pivotal role for genetically driven changes in chromatin remodeling in shaping DNA methylation and gene expression patterns during tumor development.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticChromatinChromatin Assembly and DisassemblyCpG IslandsEpigenomicsHumansMutationNeoplasmsPolymorphism, Single NucleotideChromatinchromatic remodelingDNA methylationexpression driver genegene expressionmethylation driver genePan-cancer analysissomatic mutationTCGA

Identifiers

PMID30400878
PMCPMC6218985
OpenAlexW2900022105

What OpenQuestion holds

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LicenceCC BY
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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.