Evidence map›Paper›PMID 23715282›Full record

ArticleNature communications2013

Peptidomimetic targeting of critical androgen receptor-coregulator interactions in prostate cancer.

Preethi Ravindranathan, Tae-Kyung Lee, Lin Yang, Margaret M Centenera, Lisa Butler, Wayne D Tilley, Jer-Tsong Hsieh, Jung-Mo Ahn, Ganesh V Raj

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
39.8field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 256 citations in OpenAlex.

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  14. AR Structural Variants and Prostate Cancer.Advances in experimental medicine and biology · 2022
    Article
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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Preethi RavindranathanDepartment of Urology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas 75390, USA.
Tae-Kyung Lee
Lin Yang
Margaret M Centenera
Lisa Butler
Wayne D Tilley
Jer-Tsong Hsieh
Jung-Mo Ahn
Ganesh V Raj
The University of Texas Southwestern Medical Center · USHanson Institute · AUThe University of Texas at Dallas · USFirst Affiliated Hospital of Xi'an Jiaotong University · CNUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth of advanced prostate cancer depends on androgen receptor signalling, however treatment options are limited. Here we report the disruption of specific protein-protein interactions involving LXXLL motifs in androgen receptor-coregulator proteins such as PELP1 using a novel, small molecule peptidomimetic (D2). D2 is stable, non-toxic and efficiently taken up by prostate cancer cells. Importantly, D2 blocks androgen-induced nuclear uptake and genomic activity of the androgen receptor. Furthermore, D2 abrogates androgen-induced proliferation of prostate cancer cells in vitro with an IC50 of 40 nM, and inhibits tumour growth in a mouse xenograft model. D2 also disrupts androgen receptor-coregulator interactions in ex vivo cultures of primary human prostate tumours. These findings provide evidence that targeting androgen receptor-coregulator interactions using peptidomimetics may be a viable therapeutic approach for patients with advanced prostate cancer.

Indexed as

Amino Acid MotifsAnimalsCell Line, TumorCell NucleusCell ProliferationCo-Repressor ProteinsHumansMaleMiceMicroscopy, FluorescenceModels, MolecularPeptidomimeticsProstatectomyProstatic NeoplasmsProtein BindingProtein Structure, TertiaryAR protein, humanCo-Repressor ProteinsPELP1 protein, humanPeptidomimeticsReceptors, AndrogenTranscription Factors

Identifiers

PMID23715282
OpenAlexW2165177861

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.