Evidence map›Paper›PMID 24970479›Full record

ArticleCancer research2014

Chromosomal instability selects gene copy-number variants encoding core regulators of proliferation in ER+ breast cancer.

David Endesfelder, Rebecca Burrell, Nnennaya Kanu, Nicholas McGranahan, Mike Howell, Peter J Parker, Julian Downward, Charles Swanton, Maik Kschischo

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Deciphering radiological stable disease to immune checkpoint inhibitors.Annals of oncology : official journal of the European Society for Medical Oncology · 2022
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  13. Breast cancer (Dove Medical Press) · 2024
    Article
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  16. Disentangling the roles of aneuploidy, chromosomal instability and tumour heterogeneity in developing resistance to cancer therapies.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
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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

9 authors at 2 institutions in 1 country.

David EndesfelderDepartment of Mathematics and Technology, RheinAhrCampus, University of Applied Sciences Koblenz, 53424 Remagen, Germany.
Rebecca Burrell *Translational Cancer Therapeutics Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3PX, UK.
Nnennaya Kanu *UCL Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, WC1E 6BT London.
Nicholas McGranahanTranslational Cancer Therapeutics Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3PX, UK.
Mike HowellHigh Throughput Screening Laboratory,Cancer Research UK London Research Institute, London, United Kingdom.
Peter J ParkerProtein Phosphorylation Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3PX, UK.
Julian DownwardSignal Transduction Laboratory, Cancer Research UK London Research Institute, London, United Kingdom.
Charles SwantonTranslational Cancer Therapeutics Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3PX, UK.
Maik KschischoDepartment of Mathematics and Technology, RheinAhrCampus, University of Applied Sciences Koblenz, 53424 Remagen, Germany.
CRUK Lung Cancer Centre of Excellence · GBCancer Research UK · GB

Funding

Cancer Research UK 15680Cancer Research UK 15683Cancer Research UK 17786Cancer Research UK 19310European Research Council 617844Medical Research Council G0701935
6 · The paper itself

Abstract

Chromosomal instability (CIN) is associated with poor outcome in epithelial malignancies, including breast carcinomas. Evidence suggests that prognostic signatures in estrogen receptor-positive (ER(+)) breast cancer define tumors with CIN and high proliferative potential. Intriguingly, CIN induction in lower eukaryotic cells and human cells is context dependent, typically resulting in a proliferation disadvantage but conferring a fitness benefit under strong selection pressures. We hypothesized that CIN permits accelerated genomic evolution through the generation of diverse DNA copy-number events that may be selected during disease development. In support of this hypothesis, we found evidence for selection of gene amplification of core regulators of proliferation in CIN-associated cancer genomes. Stable DNA copy-number amplifications of the core regulators TPX2 and UBE2C were associated with expression of a gene module involved in proliferation. The module genes were enriched within prognostic signature gene sets for ER(+) breast cancer, providing a logical connection between CIN and prognostic signature expression. Our results provide a framework to decipher the impact of intratumor heterogeneity on key cancer phenotypes, and they suggest that CIN provides a permissive landscape for selection of copy-number alterations that drive cancer proliferation.

Indexed as

Breast NeoplasmsCell Cycle ProteinsCell Line, TumorCell ProliferationChromosomal InstabilityDNA Copy Number VariationsFemaleGene AmplificationGene DosageGene Expression Regulation, NeoplasticHCT116 CellsHumansMicrotubule-Associated ProteinsNuclear ProteinsReceptors, EstrogenUbiquitin-Conjugating EnzymesCell Cycle ProteinsMicrotubule-Associated ProteinsNuclear ProteinsReceptors, EstrogenTPX2 protein, humanUBE2C protein, humanUbiquitin-Conjugating Enzymes

Identifiers

PMID24970479
PMCPMC4167338
OpenAlexW2134735385

What OpenQuestion holds

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Read underepoch 390

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.