Evidence map›Paper›PMID 36636693›Full record

ReviewAmerican journal of clinical and experimental urology2022

Mechanisms and targeting of proteosome-dependent androgen receptor degradation in prostate cancer.

Qinghua Fang, Ryan N Cole, Zhou Wang

Open access · greenAbstract readReview
In one paragraph

Review in American journal of clinical and experimental urology, 2022. 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
1.0field-weighted citation impact, top 26% 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, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. UBX-390: A Novel Androgen Receptor Degrader for Therapeutic Intervention in Prostate Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Regulation of androgen receptor stability by the βFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  5. Review
  6. Review
  7. Review
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.

Qinghua FangDepartment of Urology, University of Pittsburgh School of Medicine Pittsburgh, Pennsylvania, USA.
Ryan N ColeDepartment of Urology, University of Pittsburgh School of Medicine Pittsburgh, Pennsylvania, USA.
Zhou WangDepartment of Urology, University of Pittsburgh School of Medicine Pittsburgh, Pennsylvania, USA.
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) remains to be a key target for the treatment of prostate cancer, including the majority of castration-resistant prostate cancer (CRPC). AR is stabilized in CRPC and the ubiquitin-proteasome system (UPS) plays a major role in AR degradation. Targeting AR for degradation provides a potential approach to overcome the resistance of CRPC to current AR antagonists, including the next generation AR signaling inhibitors. Different types of AR degraders have been developed, including the proteolysis-targeting chimeras (PROTACs), selective AR degraders (SARDs), and novel AR degraders, with several AR PROTACs currently in clinical trials. The present mini-review discusses the regulation of AR degradation by the UPS, the potential role of a novel nuclear degradation signal in AR, and different types of AR degraders.

Indexed as

androgen receptordegradationnuclear degradation signalProstate cancerproteasome

Identifiers

PMID36636693
PMCPMC9831915
OpenAlexW4315928623

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.