Evidence map›Paper›PMID 31109337›Full record

ArticleBMC medical genomics2019

Impact of cancer mutational signatures on transcription factor motifs in the human genome.

Calvin Wing Yiu Chan, Zuguang Gu, Matthias Bieg, Roland Eils, Carl Herrmann

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Mutational Signatures: From Methods to Mechanisms.Annual review of biomedical data science · 2021
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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

5 authors at 1 institution in 2 countries.

Calvin Wing Yiu ChanDivision of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
Zuguang GuDivision of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
Matthias BiegDivision of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
Roland EilsDivision of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
Carl HerrmannDivision of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany. carl.herrmann@uni-heidelberg.de.ORCID http://orcid.org/0000-0003-4989-4722
German Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSomatic mutations in cancer genomes occur through a variety of molecular mechanisms, which contribute to different mutational patterns. To summarize these, mutational signatures have been defined using a large number of cancer genomes, and related to distinct mutagenic processes. Each cancer genome can be compared to this reference dataset and its exposure to one or the other signature be determined. Given the very different mutational patterns of these signatures, we anticipate that they will have distinct impact on genomic elements, in particular motifs for transcription factor binding sites (TFBS).

methodsWe used the 30 mutational signatures from the COSMIC database, and derived a theoretical framework to infer the impact of these signatures on the alteration of transcription factor (TF) binding motifs from the JASPAR database. Hence, we translated the trinucleotide mutation frequencies of the signatures into alteration frequencies of specific TF binding motifs, leading either to creation or disruption of these motifs.

resultsMotif families show different susceptibility to alterations induced by the mutational signatures. For certain motifs, a high correlation is observed between the TFBS motif creation and disruption events related to the information content of the motif. Moreover, we observe striking patterns regarding for example the Ets-motif family, for which a high impact of UV induced signatures is observed. Our model also confirms the susceptibility of specific transcription factor motifs to deamination processes.

conclusionOur results show that the mutational signatures have different impact on the binding motifs of transcription factors and that for certain high complexity motifs there is a strong correlation between creation and disruption, related to the information content of the motif. This study represents a background estimation of the alterations due purely to mutational signatures in the absence of additional contributions, e.g. from evolutionary processes.

Indexed as

MutationBase SequenceBinding SitesGenome, HumanGenomicsHumansNeoplasmsNucleotide MotifsTranscription FactorsTrinucleotide RepeatsTranscription FactorsCancerMutational signatureSNV

Identifiers

PMID31109337
PMCPMC6528224
OpenAlexW2950760001

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.