Evidence map›Paper›PMID 38317241›Full record

ArticleGenome biology2024

The androgen receptor interacts with GATA3 to transcriptionally regulate a luminal epithelial cell phenotype in breast cancer.

Leila Hosseinzadeh, Zoya Kikhtyak, Geraldine Laven-Law, Stephen M Pederson, Caroline G Puiu, Clive S D'Santos, Elgene Lim, Jason S Carroll, Wayne D Tilley, Amy R Dwyer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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  14. Rat Models of Hormone Receptor-Positive Breast Cancer.Journal of mammary gland biology and neoplasia · 2024
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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

11 authors at 3 institutions in 2 countries.

Leila HosseinzadehDame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Zoya KikhtyakDame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Geraldine Laven-LawDame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Stephen M PedersonDame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Caroline G PuiuDame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Clive S D'SantosCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Elgene LimGarvan Institute of Medical Research, University of New South Wales, Sydney, Australia.
Jason S CarrollCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Wayne D TilleyDame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Amy R Dwyer *Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Theresa E Hickey *Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, Australia. theresa.hickey@adelaide.edu.au.ORCID 0000-0002-2752-730X
The University of Adelaide · AUUniversity of Cambridge · GBGarvan Institute of Medical Research · AU

Funding

Cancer Research UK 20411Cancer Research UK CRI_CORE_PROTE_2324
6 · The paper itself

Abstract

backgroundThe androgen receptor (AR) is a tumor suppressor in estrogen receptor (ER) positive breast cancer, a role sustained in some ER negative breast cancers. Key factors dictating AR genomic activity in a breast context are largely unknown. Herein, we employ an unbiased chromatin immunoprecipitation-based proteomic technique to identify endogenous AR interacting co-regulatory proteins in ER positive and negative models of breast cancer to gain new insight into mechanisms of AR signaling in this disease.

resultsThe DNA-binding factor GATA3 is identified and validated as a novel AR interacting protein in breast cancer cells irrespective of ER status. AR activation by the natural ligand 5α-dihydrotestosterone (DHT) increases nuclear AR-GATA3 interactions, resulting in AR-dependent enrichment of GATA3 chromatin binding at a sub-set of genomic loci. Silencing GATA3 reduces but does not prevent AR DNA binding and transactivation of genes associated with AR/GATA3 co-occupied loci, indicating a co-regulatory role for GATA3 in AR signaling. DHT-induced AR/GATA3 binding coincides with upregulation of luminal differentiation genes, including EHF and KDM4B, established master regulators of a breast epithelial cell lineage. These findings are validated in a patient-derived xenograft model of breast cancer. Interaction between AR and GATA3 is also associated with AR-mediated growth inhibition in ER positive and ER negative breast cancer.

conclusionsAR and GATA3 interact to transcriptionally regulate luminal epithelial cell differentiation in breast cancer regardless of ER status. This interaction facilitates the tumor suppressor function of AR and mechanistically explains why AR expression is associated with less proliferative, more differentiated breast tumors and better overall survival in breast cancer.

Indexed as

Breast NeoplasmsGATA3 Transcription FactorReceptors, AndrogenCell Line, TumorEpithelial CellsFemaleHumansJumonji Domain-Containing Histone DemethylasesPhenotypeProteomicsGATA3 protein, humanGATA3 Transcription FactorJumonji Domain-Containing Histone DemethylasesKDM4B protein, humanReceptors, AndrogenAndrogen receptorBreastGATA3Luminal lineage

Identifiers

PMID38317241
PMCPMC10840202
OpenAlexW4391533522

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.