Evidence map›Paper›PMID 30382885›Full record

ArticleMolecular cancer2018

Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer.

Alex Root, Azadeh Beizaei, H Alexander Ebhardt

Open access · goldAbstract readLetter
In one paragraph

Article in Molecular cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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  6. miR-31-5p RegulatesCancer management and research · 2020
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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

3 authors at 2 institutions in 2 countries.

Alex RootMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-1206-7010
Azadeh BeizaeiSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
H Alexander EbhardtSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland. h.a.ebhardt@ucd.ie.ORCID 0000-0001-9019-8388
University College Dublin · IEMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Developing combination therapy for castrate-resistant prostate cancer (CRPC) may require exploiting new drug targets outside androgen receptor and PI3K / AKT / mTOR signal transduction pathways implicated in prostate cancer (PCa) progression. One such possible new target is YWHAZ of the 14-3-3 protein family as this gene has prognostic significance for metastatic CRPC patients. However, there are no small molecules targeting YWHAZ commercially available. Hence, we explored whether the small molecule BV02 targeting another 14-3-3 protein family member SFN also binds to YWHAZ. Using advanced docking algorithms we find that BV02 docks many other 14-3-3 family members. In addition, the amphipathic groove where drug binding occurs also has a high binding affinity for other drugs used to treat PCa such as docetaxel. The proteome of metastatic PCa models (LNCaP clone FGC and PC-3) was perturbed as a result of BV02 treatment. Through data integration of three proteomics data sets we found that BV02 modulates numerous protein-protein interactions involving 14-3-3 proteins in our PCa models.

Indexed as

Protein Interaction MappingProtein Interaction Maps14-3-3 ProteinsDrug DiscoveryHumansLigandsMaleModels, MolecularMolecular ConformationMultigene FamilyProstatic NeoplasmsProtein BindingStructure-Activity Relationship14-3-3 ProteinsLigands14-3-3 protein familyBV02DocetaxelMM-GBSAStructure-based drug designYWHAZ

Identifiers

PMID30382885
PMCPMC6208026
OpenAlexW2899028709

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.