Evidence map›Paper›PMID 28680267›Full record

ArticleCancer growth and metastasis2017

Suppression of Breast Cancer Metastasis Using Stapled Peptides Targeting the WASF Regulatory Complex.

John K Cowell, Yong Teng, N George Bendzunas, Roxan Ara, Ali S Arbab, Eileen J Kennedy

Abstract read
In one paragraph

Article in Cancer growth and metastasis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. ACS medicinal chemistry letters · 2022
    Article
  12. Article
  13. Article
  14. Allosteric inhibition of LRRK2, where are we now.Biochemical Society transactions · 2020
    Review
  15. Article
  16. 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

6 authors.

John K CowellGeorgia Cancer Center, Augusta University, Augusta, GA, USA.
Yong TengGeorgia Cancer Center, Augusta University, Augusta, GA, USA.
N George BendzunasDepartment of Pharmaceutical & Biomedical Sciences, College of Pharmacy, The University of Georgia, Athens, GA, USA.
Roxan AraGeorgia Cancer Center, Augusta University, Augusta, GA, USA.
Ali S ArbabGeorgia Cancer Center, Augusta University, Augusta, GA, USA.
Eileen J KennedyDepartment of Pharmaceutical & Biomedical Sciences, College of Pharmacy, The University of Georgia, Athens, GA, USA.

Funding

Targeted Inhibition of EGFR DimerizationR03CA188439 · NCI · UNIVERSITY OF GEORGIA · PI KENNEDY, EILEEN J · 2015 to 2016
$150k
NCI NIH HHS R03 CA188439
6 · The paper itself

Abstract

The WASF3 gene facilitates the metastatic phenotype, and its inactivation leads to suppression of invasion and metastasis regardless of the genetic background of the cancer cell. This reliance on WASF3 to facilitate metastasis suggests that targeting its function could serve as an effective strategy to suppress metastasis. WASF3 stability and function are regulated by the WASF Regulatory Complex (WRC) of proteins, particularly CYFIP1 and NCKAP1. Knockdown of these proteins in vitro leads to disruption of the WRC and suppression of invasion. We have used mouse xenograft models of breast cancer metastasis to assess whether targeting the WRC complex suppresses metastasis in vivo. Stapled peptides targeting the WASF3-CYFIP1 interface (WAHM1) and the CYFIP1-NCKAP1 interface (WANT3) suppress the development of lung and liver metastases. Targeting these critical protein-protein interactions, therefore, could potentially be developed into a therapeutic strategy to control cancer cell invasion and metastasis.

Indexed as

Metastasisstapled peptidessuppressionWASF3

Identifiers

PMID28680267
PMCPMC5480654

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Registered trials

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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.