Evidence map›Paper›PMID 25848750›Full record

ArticleNature genetics2015

Transposon mutagenesis identifies genetic drivers of Braf(V600E) melanoma.

Michael B Mann, Michael A Black, Devin J Jones, Jerrold M Ward, Christopher Chin Kuan Yew, Justin Y Newberg, Adam J Dupuy, Alistair G Rust, Marcus W Bosenberg, Martin McMahon and 3 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 71 citations in OpenAlex.

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  14. UVB mutagenesis differs inLife science alliance · 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

13 authors at 8 institutions in 4 countries.

Michael B Mann1] Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA. [2] Institute of Molecular and Cell Biology, Singapore.
Michael A BlackDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Devin J JonesCancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA.
Jerrold M WardInstitute of Molecular and Cell Biology, Singapore.
Christopher Chin Kuan YewInstitute of Molecular and Cell Biology, Singapore.
Justin Y NewbergCancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA.
Adam J DupuyDepartment of Anatomy and Cell Biology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Alistair G RustExperimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK.
Marcus W Bosenberg1] Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut, USA. [2] Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Martin McMahon1] Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA. [2] Department of Cell and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA.
Cristin G Print1] Department of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand. [2] New Zealand Bioinformatics Institute, University of Auckland, Auckland, New Zealand.
Neal G Copeland1] Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA. [2] Institute of Molecular and Cell Biology, Singapore.
Nancy A Jenkins1] Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA. [2] Institute of Molecular and Cell Biology, Singapore.
Institute of Molecular and Cell Biology · SGHouston Methodist · USUniversity of Auckland · NZUniversity of California, San Francisco · USUniversity of Iowa · USUniversity of Otago · NZWellcome Sanger Institute · GBYale University · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Targeting Oncogenic NRAS, BRAF plus PI3'-Kinase Signaling for Melanoma TherapyR01CA176839 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MARTIN MCMAHON · 2013 to 2026
$2.9M
NCI NIH HHS R01 CA176839Wellcome Trust
6 · The paper itself

Abstract

Although nearly half of human melanomas harbor oncogenic BRAF(V600E) mutations, the genetic events that cooperate with these mutations to drive melanogenesis are still largely unknown. Here we show that Sleeping Beauty (SB) transposon-mediated mutagenesis drives melanoma progression in Braf(V600E) mutant mice and identify 1,232 recurrently mutated candidate cancer genes (CCGs) from 70 SB-driven melanomas. CCGs are enriched in Wnt, PI3K, MAPK and netrin signaling pathway components and are more highly connected to one another than predicted by chance, indicating that SB targets cooperative genetic networks in melanoma. Human orthologs of >500 CCGs are enriched for mutations in human melanoma or showed statistically significant clinical associations between RNA abundance and survival of patients with metastatic melanoma. We also functionally validate CEP350 as a new tumor-suppressor gene in human melanoma. SB mutagenesis has thus helped to catalog the cooperative molecular mechanisms driving BRAF(V600E) melanoma and discover new genes with potential clinical importance in human melanoma.

Indexed as

AnimalsCell Line, TumorDNA Transposable ElementsExomeFemaleGene FrequencyGene Regulatory NetworksGenes, Tumor SuppressorGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMelanomaMice, 129 StrainMice, Inbred C3HMice, Inbred C57BLBRAF protein, humanCEP350 protein, humanDNA Transposable ElementsMicrotubule ProteinsNuclear ProteinsProto-Oncogene Proteins B-raf

Identifiers

PMID25848750
PMCPMC4844184
OpenAlexW2033175028

What OpenQuestion holds

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LicenceTDM
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.