Evidence map›Paper›PMID 28821767›Full record

ArticleScientific reports2017

Identification of candidate genes for devil facial tumour disease tumourigenesis.

Robyn L Taylor, Yiru Zhang, Jennifer P Schöning, Janine E Deakin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  7. 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

4 authors at 3 institutions in 1 country.

Robyn L TaylorSchool of Biological Sciences, University of Tasmania, Hobart, Tasmania, 7001, Australia.
Yiru ZhangResearch School of Biology, The Australian National University, Canberra, ACT, 2601, Australia.
Jennifer P SchöningResearch School of Biology, The Australian National University, Canberra, ACT, 2601, Australia.
Janine E DeakinInstitute for Applied Ecology, University of Canberra, Canberra, ACT, 2617, Australia. janine.deakin@canberra.edu.au.ORCID 0000-0002-1259-3531
Australian National University · AUUniversity of Canberra · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Devil facial tumour (DFT) disease, a transmissible cancer where the infectious agent is the tumour itself, has caused a dramatic decrease in Tasmanian devil numbers in the wild. The purpose of this study was to take a candidate gene/pathway approach to identify potentially perturbed genes or pathways in DFT. A fusion of chromosome 1 and X is posited as the initial event leading to the development of DFT, with the rearranged chromosome 1 material now stably maintained as the tumour spreads through the population. This hypothesis makes chromosome 1 a prime chromosome on which to search for mutations involved in tumourigenesis. As DFT1 has a Schwann cell origin, we selected genes commonly implicated in tumour pathways in human nerve cancers, or cancers more generally, to determine whether they were rearranged in DFT1, and mapped them using molecular cytogenetics. Many cancer-related genes were rearranged, such as the region containing the tumour suppressor NF2 and a copy gain for ERBB3, a member of the epidermal growth factor receptor family of receptor tyrosine kinases implicated in proliferation and invasion of tumours in humans. Our mapping results have provided strong candidates not previously detected by sequencing DFT1 genomes.

Indexed as

Biomarkers, TumorGenetic Predisposition to DiseaseCell Transformation, NeoplasticChromosome AberrationsChromosome MappingFacial NeoplasmsGenetic Association StudiesHumansKaryotypeBiomarkers, Tumor

Identifiers

PMID28821767
PMCPMC5562891
OpenAlexW2749405057

What OpenQuestion holds

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LicenceCC BY
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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.