Evidence map›Paper›PMID 32742927›Full record

ReviewAsian journal of urology2020

Therapeutic targeting of the androgen receptor (AR) and AR variants in prostate cancer.

Ramesh Narayanan

Open access · diamondAbstract readReview
In one paragraph

Review in Asian journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  15. Article
  16. The role of 11-oxygenated androgens in prostate cancer.Endocrine oncology (Bristol, England) · 2023
    Review
  17. Review
  18. Review
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Ramesh NarayananDepartment of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
University of Tennessee Health Science Center · US

Funding

Racial Disparity in the Expression of Androgen Receptor Splice Variants (AR-SVs) in Prostate CancerR01CA229164 · NCI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI Ramesh Narayanan · 2019 to 2026
$3.2M
NCI NIH HHS R01 CA229164
6 · The paper itself

Abstract

Prostate cancer (PCa) accounted for over 300 000 deaths world-wide in 2018. Most of the PCa deaths occurred due to the aggressive castration-resistant PCa (CRPC). Since the androgen receptor (AR) and its ligands contribute to the continued growth of androgen-dependent PCa (ADPCa) and CRPC, AR has become a well-characterized and pivotal therapeutic-target. Although AR signaling was identified as therapeutic-target in PCa over five-decades ago, there remains several practical issues such as lack of antagonist-bound AR crystal structure, stabilization of the AR in the presence of agonists due to N-terminus and C-terminus interaction, unfavorable large-molecule accommodation of the ligand-binding domain (LBD), and generation of AR splice variants that lack the LBD that impede the discovery of highly potent fail-safe drugs. This review summarizes the AR-signaling pathway targeted therapeutics currently used in PCa and the approaches that could be used in future AR-targeted drug development of potent next-generation molecules. The review also outlines the discovery of molecules that bind to domains other than the LBD and those that inhibit both the full length and splice variant of ARs.

Indexed as

Androgen receptor (AR)AR activation function-1 domainAR antagonistsAR ligand binding domainAR variantsCastration-resistant prostate cancerProstate cancer

Identifiers

PMID32742927
PMCPMC7385518
OpenAlexW3009651047

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.