Evidence map›Paper›PMID 27606620›Full record

ArticleAssay and drug development technologies2016

Reconfiguring the AR-TIF2 Protein-Protein Interaction HCS Assay in Prostate Cancer Cells and Characterizing the Hits from a LOPAC Screen.

Ashley T Fancher, Yun Hua, Daniel P Camarco, David A Close, Christopher J Strock, Paul A Johnston

Open access · greenAbstract read
In one paragraph

Article in Assay and drug development technologies, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Steroid receptor/coactivator binding inhibitors: An update.Molecular and cellular endocrinology · 2019
    Review
  5. Targeting Transcription Factors for Cancer Treatment.Molecules (Basel, Switzerland) · 2018
    Review
  6. Review
  7. Article
  8. 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 at 2 institutions in 1 country.

Ashley T Fancher1 Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, Pennsylvania.
Yun Hua1 Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, Pennsylvania.
Daniel P Camarco1 Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, Pennsylvania.
David A Close1 Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, Pennsylvania.
Christopher J Strock2 Cyprotex US , Watertown, Massachusetts.
Paul A Johnston1 Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, Pennsylvania.
University of Pittsburgh · USCyprotex (United States) · US

Funding

HCS to Identify Inhibitors and Disruptors of AR-TIF2 InteractionsR01CA183882 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHNSTON, PAUL A. · 2015 to 2017
$1.1M
Development of a Novel HCS Assay to Screen for Disruptors of AR-TIF2 InteractionsR01CA160423 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHNSTON, PAUL A. · 2012 to 2014
$924k
HCS Assay to Identify Disruptors of AR-TIF2 Protein-Protein InteractionsR21NS073889 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHNSTON, PAUL A. · 2011 to 2011
$152k
NCI NIH HHS R01 CA160423NCI NIH HHS R01 CA183882NINDS NIH HHS R21 NS073889
6 · The paper itself

Abstract

The continued activation of androgen receptor (AR) transcription and elevated expression of AR and transcriptional intermediary factor 2 (TIF2) coactivator observed in prostate cancer (CaP) recurrence and the development of castration-resistant CaP (CRPC) support a screening strategy for small-molecule inhibitors of AR-TIF2 protein-protein interactions (PPIs) to find new drug candidates. Small molecules can elicit tissue selective effects, because the cells of distinct tissues express different levels and cohorts of coregulatory proteins. We reconfigured the AR-TIF2 PPI biosensor (PPIB) assay in the PC-3 CaP cell line to determine whether AR modulators and hits from an AR-TIF2 PPIB screen conducted in U-2 OS cells would behave differently in the CaP cell background. Although we did not observe any significant differences in the compound responses between the assay performed in osteosarcoma and CaP cells, the U-2 OS AR-TIF2 PPIB assay would be more amenable to screening, because both the virus and cell culture demands are lower. We implemented a testing paradigm of counter-screens and secondary hit characterization assays that allowed us to identify and deprioritize hits that inhibited/disrupted AR-TIF2 PPIs and AR transcriptional activation (AR-TA) through antagonism of AR ligand binding or by non-specifically blocking nuclear receptor trafficking. Since AR-TIF2 PPI inhibitor/disruptor molecules act distally to AR ligand binding, they have the potential to modulate AR-TA in a cell-specific manner that is distinct from existing anti-androgen drugs, and to overcome the development of resistance to AR antagonism. We anticipate that the application of this testing paradigm to characterize the hits from an AR-TIF2 PPI high-content screening campaign will enable us to prioritize the AR-TIF2 PPI inhibitor/disruptor leads that have potential to be developed into novel therapeutics for CaP and CRPC.

Indexed as

Antineoplastic AgentsBiosensing TechniquesCell Line, TumorDose-Response Relationship, DrugHumansMaleNuclear Receptor Coactivator 2Prostatic NeoplasmsProtein BindingProtein Interaction MapsRadioligand AssayReceptors, AndrogenAntineoplastic AgentsAR protein, humanNCOA2 protein, humanNuclear Receptor Coactivator 2Receptors, Androgenandrogen receptorcoactivatorsprostate cancerprotein–protein interactions

Identifiers

PMID27606620
PMCPMC5067810
OpenAlexW2518908718

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.