Evidence map›Paper›PMID 28173755›Full record

ArticleBMC genomics2017

Melanoma genome evolution across species.

Emily R Kansler, Akanksha Verma, Erin M Langdon, Theresa Simon-Vermot, Alexandra Yin, William Lee, Marc Attiyeh, Olivier Elemento, Richard M White

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  10. Frontiers in oncology · 2017
    Review
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.

Emily R KanslerMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics, New York, USA.
Akanksha VermaWeill-Cornell Medical College, Institute for Computational Biomedicine, New York, USA.
Erin M LangdonMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics, New York, USA.
Theresa Simon-VermotMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics, New York, USA.
Alexandra YinMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics, New York, USA.
William LeeMemorial Sloan Kettering Cancer Center, Computational Biology, New York, USA.
Marc AttiyehMemorial Sloan Kettering Cancer Center, The David M. Rubenstein Center for Pancreatic Cancer Research, New York, USA.
Olivier ElementoWeill-Cornell Medical College, Institute for Computational Biomedicine, New York, USA.
Richard M WhiteMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics, New York, USA. whiter@mskcc.org.
Memorial Sloan Kettering Cancer Center · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer genomes evolve in both space and time, which contributes to the genetic heterogeneity that underlies tumor progression and drug resistance. In human melanoma, identifying mechanistically important events in tumor evolution is hampered due to the high background mutation rate from ultraviolet (UV) light. Cross-species oncogenomics is a powerful tool for identifying these core events, in which transgenically well-defined animal models of cancer are compared to human cancers to identify key conserved alterations.

resultsWe use a zebrafish model of tumor progression and drug resistance for cross-species genomic analysis in melanoma. Zebrafish transgenic tumors are initiated with just 2 genetic lesions, BRAF

conclusionsOur results suggest that targeting of alterations that are conserved between zebrafish and humans may offer new avenues for therapeutic intervention. The approaches described here will be broadly applicable to the diverse array of cancer models available in the zebrafish, which can be used to inform human cancer genomics.

Indexed as

Evolution, MolecularGenomeGenomicsAnimalsCell Transformation, NeoplasticCluster AnalysisDisease Models, AnimalDrug Resistance, NeoplasmGenetic Association StudiesGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansMelanomaMutationSignal TransductionSpecies SpecificityCancerDrug-resistanceMelanomaZebrafish

Identifiers

PMID28173755
PMCPMC5297047
OpenAlexW2587221722

What OpenQuestion holds

Textmetadata
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.