Evidence map›Paper›PMID 29717121›Full record

ArticleNature communications2018

Validating the concept of mutational signatures with isogenic cell models.

Xueqing Zou, Michel Owusu, Rebecca Harris, Stephen P Jackson, Joanna I Loizou, Serena Nik-Zainal

Abstract readValidation Study
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
–field-weighted citation impact
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

89 citing papers in PubMed.

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29 more citing papers are in PubMed but not listed here.

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.

Xueqing ZouWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Michel OwusuCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3, 1090, Vienna, Austria.
Rebecca HarrisWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Stephen P JacksonThe Gurdon Institute and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QN, UK.
Joanna I LoizouCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT 25.3, 1090, Vienna, Austria. jloizou@cemm.oeaw.ac.at.
Serena Nik-ZainalWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK. snz@sanger.ac.uk.

Funding

Cancer Research UK 18796Cancer Research UK 22932Cancer Research UK 23433Cancer Research UK 23916Wellcome Trust
6 · The paper itself

Abstract

The diversity of somatic mutations in human cancers can be decomposed into individual mutational signatures, patterns of mutagenesis that arise because of DNA damage and DNA repair processes that have occurred in cells as they evolved towards malignancy. Correlations between mutational signatures and environmental exposures, enzymatic activities and genetic defects have been described, but human cancers are not ideal experimental systems-the exposures to different mutational processes in a patient's lifetime are uncontrolled and any relationships observed can only be described as an association. Here, we demonstrate the proof-of-principle that it is possible to recreate cancer mutational signatures in vitro using CRISPR-Cas9-based gene-editing experiments in an isogenic human-cell system. We provide experimental and algorithmic methods to discover mutational signatures generated under highly experimentally-controlled conditions. Our in vitro findings strikingly recapitulate in vivo observations of cancer data, fundamentally validating the concept of (particularly) endogenously-arising mutational signatures.

Indexed as

Models, BiologicalMutationAlgorithmsCell LineCRISPR-Cas SystemsDNA DamageDNA RepairHumansNeoplasms

Identifiers

PMID29717121
PMCPMC5931590

What OpenQuestion holds

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Registered trials

None linked

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.