Evidence map›Paper›PMID 37414131›Full record

ReviewMolecular and cellular endocrinology2023

Androgen receptor nucleocytoplasmic trafficking - A one-way journey.

Ryan N Cole, Qinghua Fang, Zhou Wang

Open access · greenAbstract readReview
In one paragraph

Review in Molecular and cellular endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. A Spatiotemporal Atlas of the Androgen Receptor Proximal Interactome.bioRxiv : the preprint server for biology · 2026
    Article
  2. 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

3 authors at 1 institution in 1 country.

Ryan N ColeDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Qinghua FangDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Zhou WangDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: wangz2@upmc.edu.
University of Pittsburgh · US

Funding

Targeting androgen receptor nuclear localization in prostate cancerR01CA265897 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zhou Wang, Peter Wipf · 2022 to 2026
$1.8M
NCI NIH HHS R01 CA265897
6 · The paper itself

Abstract

The androgen receptor (AR) is a key regulator of the growth and proliferation of prostate cancer. The majority of lethal castration-resistant prostate cancer (CRPC) growth is still dependent on AR activity. The AR need to be in the nucleus to exert its biological action as a transcription factor. As such, defining the mechanisms that regulate the subcellular localization of AR are important. Previously it was believed that AR was imported into the nucleus in a ligand-dependent manner and subsequently exported out of the nucleus upon ligand withdrawal. Recent evidence has challenged this decades-old paradigm and showed that the AR is degraded, not exported, in the nucleus. This review discusses the current understanding of how AR nucleocytoplasmic localization is regulated by import and through nuclear degradation.

Indexed as

Prostatic Neoplasms, Castration-ResistantReceptors, AndrogenCell Line, TumorHumansLigandsMaleTranscription FactorsLigandsReceptors, AndrogenTranscription Factors

Identifiers

PMID37414131
PMCPMC10528972
OpenAlexW4383070348

What OpenQuestion holds

Textmetadata
LicenceTDM
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.