Evidence map›Paper›PMID 32139907›Full record

ArticleNature genetics2020

Interplay between whole-genome doubling and the accumulation of deleterious alterations in cancer evolution.

Saioa López, Emilia L Lim, Stuart Horswell, Kerstin Haase, Ariana Huebner, Michelle Dietzen, Thanos P Mourikis, Thomas B K Watkins, Andrew Rowan, Sally M Dewhurst and 7 more

Abstract read
In one paragraph

Article in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing 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

156 citing papers in PubMed.

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  11. Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2026
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96 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Saioa LópezCancer Genome Evolution Research Group, University College London Cancer Institute, London, UK.
Emilia L LimCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Stuart HorswellBioinformatics and Biostatistics Group, Francis Crick Institute, London, UK.
Kerstin HaaseCancer Genomics Laboratory, Francis Crick Institute, London, UK.ORCID http://orcid.org/0000-0002-0944-5618
Ariana HuebnerCancer Genome Evolution Research Group, University College London Cancer Institute, London, UK.
Michelle DietzenCancer Genome Evolution Research Group, University College London Cancer Institute, London, UK.
Thanos P MourikisCancer Genome Evolution Research Group, University College London Cancer Institute, London, UK.
Thomas B K WatkinsCancer Evolution and Genome Instability Laboratory, Francis Crick Institute and University College London Cancer Institute, London, UK.
Andrew RowanCancer Evolution and Genome Instability Laboratory, Francis Crick Institute and University College London Cancer Institute, London, UK.
Sally M DewhurstLaboratory for Cell Biology and Genetics, The Rockefeller University, New York, NY, USA.
Nicolai J BirkbakCancer Evolution and Genome Instability Laboratory, Francis Crick Institute and University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0003-1613-9587
Gareth A WilsonCancer Evolution and Genome Instability Laboratory, Francis Crick Institute and University College London Cancer Institute, London, UK.
Peter Van LooCancer Genomics Laboratory, Francis Crick Institute, London, UK.ORCID http://orcid.org/0000-0003-0292-1949
Mariam Jamal-HanjaniCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
TRACERx Consortium
Charles SwantonCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK. charles.swanton@crick.ac.uk.ORCID http://orcid.org/0000-0002-4299-3018
Nicholas McGranahanCancer Genome Evolution Research Group, University College London Cancer Institute, London, UK. nicholas.mcgranahan.10@ucl.ac.uk.ORCID http://orcid.org/0000-0001-9537-4045

Funding

Cancer Research UK 17786Cancer Research UK 19278Cancer Research UK 20465Cancer Research UK 21999Cancer Research UK 23896Cancer Research UK 24956Cancer Research UK 29420Cancer Research UK 29569Cancer Research UK 30025Cancer Research UK A23896European Research Council 617844European Research Council 835297Medical Research Council FC001169, FC001202Medical Research Council MC_UP_1203/1Medical Research Council MR/P014712/1Medical Research Council MR/P014712/2Wellcome Trust 211179Wellcome Trust 211179/Z/18/ZWellcome Trust 218274Wellcome Trust FC001169Wellcome Trust FC001202
6 · The paper itself

Abstract

Whole-genome doubling (WGD) is a prevalent event in cancer, involving a doubling of the entire chromosome complement. However, despite its prevalence and prognostic relevance, the evolutionary selection pressures for WGD in cancer have not been investigated. Here, we combine evolutionary simulations with an analysis of cancer sequencing data to explore WGD during cancer evolution. Simulations suggest that WGD can be selected to mitigate the irreversible, ratchet-like, accumulation of deleterious somatic alterations, provided that they occur at a sufficiently high rate. Consistent with this, we observe an enrichment for WGD in tumor types with extensive loss of heterozygosity, including lung squamous cell carcinoma and triple-negative breast cancers, and we find evidence for negative selection against homozygous loss of essential genes before, but not after, WGD. Finally, we demonstrate that loss of heterozygosity and temporal dissection of mutations can be exploited to identify novel tumor suppressor genes and to obtain a deeper characterization of known cancer genes.

Indexed as

Gene DuplicationAdenocarcinoma of LungCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCohort StudiesComputer SimulationDNA Copy Number VariationsEvolution, MolecularGenome, HumanHumansLongitudinal StudiesLoss of HeterozygosityLung NeoplasmsMutationProspective StudiesTumor Suppressor ProteinsTumor Suppressor Proteins

Identifiers

PMID32139907
PMCPMC7116784

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.