Evidence map›Paper›PMID 29105536›Full record

ReviewCell adhesion & migration2018

The pseudokinases SgK269 and SgK223: A novel oncogenic alliance in human cancer.

Rachelle L O'Rourke, Roger J Daly

Open access · goldAbstract readReview
In one paragraph

Review in Cell adhesion & migration, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. PEAK3/C19orf35 pseudokinase, a new NFK3 kinase family member, inhibits CrkII through dimerization.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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

2 authors at 2 institutions in 1 country.

Rachelle L O'Rourkea Cancer Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology , Monash University , Melbourne , Victoria , Australia.
Roger J Dalya Cancer Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology , Monash University , Melbourne , Victoria , Australia.
Australian Regenerative Medicine Institute · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugen kinases (SgK)269 (also known as PEAK1), and SgK223, an orthologue of rat pragmin and mouse NACK, are human pseudokinases that are implicated in the progression of several cancers. Both are scaffolding proteins that recruit distinct repertoires of signalling proteins and regulate a variety of biological endpoints including cell migration and invasion. To date, SgK269 and SgK223 have been largely studied as separate signalling entities. However, recent work has demonstrated that SgK269 and SgK223 undergo homo- and heterotypic association that determines signal output and biological response. Further characterization of the mechanism of action of these two pseudokinases will provide novel insights into how they promote cancer progression and may reveal novel therapeutic strategies. Here we review their structure, mechanism and function and roles they play in cancer pathogenesis.

Indexed as

CarcinogenesisCarrier ProteinsCell MovementHumansIntracellular Signaling Peptides and ProteinsProtein-Tyrosine KinasesCarrier ProteinsIntracellular Signaling Peptides and ProteinsPEAK1 protein, humanPRAG1 protein, humanProtein-Tyrosine KinasesNACKpragminprotein kinasetyrosine phosphorylation

Identifiers

PMID29105536
PMCPMC6363038
OpenAlexW2767476582

What OpenQuestion holds

Textmetadata
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.