Evidence map›Paper›PMID 23690930›Full record

ArticlePloS one2013

Analysis of tumor heterogeneity and cancer gene networks using deep sequencing of MMTV-induced mouse mammary tumors.

Christiaan Klijn, Marco J Koudijs, Jaap Kool, Jelle ten Hoeve, Mandy Boer, Joost de Moes, Waseem Akhtar, Martine van Miltenburg, Annabel Vendel-Zwaagstra, Marcel J T Reinders and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  16. Cancer gene discovery: exploiting insertional mutagenesis.Molecular cancer research : MCR · 2013
    Review
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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

15 authors at 4 institutions in 2 countries.

Christiaan KlijnDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands ; Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Marco J Koudijs
Jaap Kool
Jelle ten Hoeve
Mandy Boer
Joost de Moes
Waseem Akhtar
Martine van Miltenburg
Annabel Vendel-Zwaagstra
Marcel J T Reinders
David J Adams
Maarten van Lohuizen
John Hilkens
Lodewyk F A Wessels
Jos Jonkers
Oncode Institute · NLThe Netherlands Cancer Institute · NLDelft University of Technology · NLWellcome Sanger Institute · GB

Funding

Cancer Research UK 13031HSRD VA TPP 10-008Wellcome TrustWorldwide Cancer Research 07-0585
6 · The paper itself

Abstract

Cancer develops through a multistep process in which normal cells progress to malignant tumors via the evolution of their genomes as a result of the acquisition of mutations in cancer driver genes. The number, identity and mode of action of cancer driver genes, and how they contribute to tumor evolution is largely unknown. This study deployed the Mouse Mammary Tumor Virus (MMTV) as an insertional mutagen to find both the driver genes and the networks in which they function. Using deep insertion site sequencing we identified around 31000 retroviral integration sites in 604 MMTV-induced mammary tumors from mice with mammary gland-specific deletion of Trp53, Pten heterozygous knockout mice, or wildtype strains. We identified 18 known common integration sites (CISs) and 12 previously unknown CISs marking new candidate cancer genes. Members of the Wnt, Fgf, Fgfr, Rspo and Pdgfr gene families were commonly mutated in a mutually exclusive fashion. The sequence data we generated yielded also information on the clonality of insertions in individual tumors, allowing us to develop a data-driven model of MMTV-induced tumor development. Insertional mutations near Wnt and Fgf genes mark the earliest "initiating" events in MMTV induced tumorigenesis, whereas Fgfr genes are targeted later during tumor progression. Our data shows that insertional mutagenesis can be used to discover the mutational networks, the timing of mutations, and the genes that initiate and drive tumor evolution.

Indexed as

High-Throughput Nucleotide SequencingAnimalsCarcinogenesisCell Line, TumorDisease ProgressionFemaleGene Regulatory NetworksGenes, NeoplasmGenotypeHumansMammary Neoplasms, ExperimentalMammary Tumor Virus, MouseMiceMutagenesis, InsertionalPTEN PhosphohydrolaseSequence Analysis, DNAPTEN PhosphohydrolaseTumor Suppressor Protein p53

Identifiers

PMID23690930
PMCPMC3653918
OpenAlexW1968055995

What OpenQuestion holds

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LicenceCC BY
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.