Evidence map›Paper›PMID 39866784›Full record

ArticleMaterials today. Bio2025

ECM-mimicking hydrogel models of human adipose tissue identify deregulated lipid metabolism in the prostate cancer-adipocyte crosstalk under antiandrogen therapy.

Agathe Bessot, Joan Röhl, Maria Emmerich, Anton Klotz, Akhilandeshwari Ravichandran, Christoph Meinert, David Waugh, Jacqui McGovern, Jenni Gunter, Nathalie Bock

Abstract read
In one paragraph

Article in Materials today. Bio, 2025. 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
–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

7 citing papers in PubMed.

  1. Article
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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

10 authors.

Agathe BessotSchool of Biomedical Sciences, Faculty of Health, and Translational Research Institute (TRI), Queensland University of Technology (QUT), Brisbane, QLD, 4102, Australia.
Joan RöhlFaculty of Health Sciences and Medicine, Bond University, Robina, QLD, 4226, Australia.
Maria EmmerichSchool of Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany.
Anton KlotzDivision of Gastroenterology and Hepatology, Department of Internal Medicine 3, Medical University of Vienna, Vienna, Austria.
Akhilandeshwari RavichandranCentre for Biomedical Technologies, QUT, Brisbane, QLD, 4000, Australia.
Christoph MeinertGelomics Pty Ltd., Brisbane, QLD 4059, Australia.
David WaughCentre for Cancer Biology, University of South Australia, Adelaide, SA 5005, Australia.
Jacqui McGovernSchool of Biomedical Sciences, Faculty of Health, and Translational Research Institute (TRI), Queensland University of Technology (QUT), Brisbane, QLD, 4102, Australia.
Jenni GunterSchool of Biomedical Sciences, Faculty of Health, and Translational Research Institute (TRI), Queensland University of Technology (QUT), Brisbane, QLD, 4102, Australia.
Nathalie BockSchool of Biomedical Sciences, Faculty of Health, and Translational Research Institute (TRI), Queensland University of Technology (QUT), Brisbane, QLD, 4102, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antiandrogen therapies are effectively used to treat advanced prostate cancer, but eventually cancer adaptation drives unresolved metastatic castration-resistant prostate cancer (mCRPC). Adipose tissue influences metabolic reprogramming in cancer and was proposed as a contributor to therapy resistance. Using extracellular matrix (ECM)-mimicking hydrogel coculture models of human adipocytes and prostate cancer cells, we show that adipocytes from subcutaneous or bone marrow fat have dissimilar responses under the antiandrogen Enzalutamide. We demonstrate that androgen receptor (AR)-dependent cancer cells (LNCaP) are more influenced by human adipocytes than AR-independent cells (C4-2B), with altered lipid metabolism and adipokine secretion. This response changes under Enzalutamide, with increased AR expression and adipogenic and lipogenic genes in cancer cells and decreased lipid content and gene dysregulation associated with insulin resistance in adipocytes. This is in line with the metabolic syndrome that men with mCRPC under Enzalutamide experience. The all-human, all-3D, models presented here provide a significant advance to dissect the role of fat in therapy response for mCRPC.

Indexed as

Adipose modelsAndrogen receptorBone marrow adipocytesC4-2B cellsEnzalutamideLipidsLNCaP cellsMetabolismProstate cancerSeahorse assaySGBS cells

Identifiers

PMID39866784
PMCPMC11764633

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.