Evidence map›Paper›PMID 40833121›Full record

ReviewBioscience reports2025

Coregulators determine androgen receptor activity in prostate cancer.

Kerim Yavuz, Nathan A Lack

Abstract readReview
In one paragraph

Review in Bioscience reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

2 authors.

Kerim YavuzVancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC V6H 3Z6, Canada.ORCID 0000-0003-4980-8804
Nathan A LackVancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC V6H 3Z6, Canada.ORCID 0000-0001-7399-5844

Funding

TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
NCI NIH HHS P50 CA097186
6 · The paper itself

Abstract

The androgen receptor (AR) is the main driver of nearly all prostate cancer (PCa). It alters gene expression by binding to specific cis-regulatory elements on the DNA. Where the AR binds in the genome determines what genes are expressed. However, the AR cistrome is not static and dramatically changes during PCa initiation and progression to activate distinct transcriptional programs that fuel disease growth and therapeutic resistance. Emerging evidence suggests that these changes in DNA binding are not caused by chromatin accessibility but rather from interactions with AR coregulators. These proteins influence AR at every step of its activity and play a critical role in DNA binding and gene activation. These context-specific coregulator interactions can stabilize AR binding with DNA that has low- to moderate-affinity and also affect locus-specific epigenetic modifications to promote transcription. Given their critical role in this process, alterations to coregulator proteins define the normal and oncogenic cistrome and profoundly affect AR-mediated gene transcription. In this review, we aim to provide a new perspective on the role of AR coregulators in transcriptional activity, how these interactions evolve through different stages of PCa and their potential as therapeutic targets in advanced disease.

Indexed as

Prostatic NeoplasmsReceptors, AndrogenAnimalsEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansMaleAR protein, humanReceptors, Androgenandrogen receptorcoregulator proteinsepigeneticsgene expression and regulationprostate cancer

Identifiers

PMID40833121
PMCPMC12784351

What OpenQuestion holds

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LicenceCC BY
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.