Evidence map›Paper›PMID 24806839›Full record

ArticleOpen biology2014

Identification of 2R-ohnologue gene families displaying the same mutation-load skew in multiple cancers.

Michele Tinti, Kumara Dissanayake, Silvia Synowsky, Luca Albergante, Carol MacKintosh

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Michele TintiDivision of Cell and Developmental Biology, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.
Kumara Dissanayake
Silvia Synowsky
Luca Albergante
Carol MacKintosh
University of Dundee · GB

Funding

Medical Research Council G0801767Medical Research Council MC_EX_G0801767Wellcome Trust
6 · The paper itself

Abstract

The complexity of signalling pathways was boosted at the origin of the vertebrates, when two rounds of whole genome duplication (2R-WGD) occurred. Those genes and proteins that have survived from the 2R-WGD-termed 2R-ohnologues-belong to families of two to four members, and are enriched in signalling components relevant to cancer. Here, we find that while only approximately 30% of human transcript-coding genes are 2R-ohnologues, they carry 42-60% of the gene mutations in 30 different cancer types. Across a subset of cancer datasets, including melanoma, breast, lung adenocarcinoma, liver and medulloblastoma, we identified 673 2R-ohnologue families in which one gene carries mutations at multiple positions, while sister genes in the same family are relatively mutation free. Strikingly, in 315 of the 322 2R-ohnologue families displaying such a skew in multiple cancers, the same gene carries the heaviest mutation load in each cancer, and usually the second-ranked gene is also the same in each cancer. Our findings inspire the hypothesis that in certain cancers, heterogeneous combinations of genetic changes impair parts of the 2R-WGD signalling networks and force information flow through a limited set of oncogenic pathways in which specific non-mutated 2R-ohnologues serve as effectors. The non-mutated 2R-ohnologues are therefore potential therapeutic targets. These include proteins linked to growth factor signalling, neurotransmission and ion channels.

Indexed as

Genome, Human14-3-3 ProteinsDatabases, GeneticEvolution, MolecularGene DuplicationHumansMutationNeoplasmsNuclear ProteinsProto-Oncogene Proteins B-rafras ProteinsRNA, MessengerTranscription FactorsTumor Suppressor Proteins14-3-3 ProteinsNuclear ProteinsProto-Oncogene Proteins B-rafras ProteinsRNA, MessengerTranscription FactorsTumor Suppressor ProteinsZFPM1 protein, human2R-ohnologue familiescancermutationssignal multiplexingvertebrates

Identifiers

PMID24806839
PMCPMC4042849
OpenAlexW2134085576

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.