Evidence map›Paper›PMID 31769890›Full record

ArticleThe Prostate2020

Peroxisome proliferator-activated receptor gamma controls prostate cancer cell growth through AR-dependent and independent mechanisms.

Catherine C Elix, Meghan M Salgia, Maya Otto-Duessel, Ben T Copeland, Christopher Yoo, Michael Lee, Ben Yi Tew, David Ann, Sumanta K Pal, Jeremy O Jones

Open access · greenAbstract read
In one paragraph

Article in The Prostate, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. MEX3A Modulates PPARγ Pathway Activity and Colorectal Cancer Growth.Cellular and molecular gastroenterology and hepatology · 2026
    Article
  3. Article
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  5. Unlocking the Potential ofPlants (Basel, Switzerland) · 2025
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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 at 2 institutions in 1 country.

Catherine C ElixDepartment of Medical Oncology, City of Hope, Duarte, California.ORCID 0000-0002-6373-3004
Meghan M SalgiaDepartment of Medical Oncology, City of Hope, Duarte, California.
Maya Otto-DuesselDepartment of Medical Oncology, City of Hope, Duarte, California.
Ben T CopelandDepartment of Medical Oncology, City of Hope, Duarte, California.
Christopher YooDepartment of Medical Oncology, City of Hope, Duarte, California.
Michael LeeDepartment of Diabetes Complications and Metabolism, City of Hope, Duarte, California.
Ben Yi TewDepartment of Medical Oncology, City of Hope, Duarte, California.
David AnnDepartment of Diabetes Complications and Metabolism, City of Hope, Duarte, California.
Sumanta K PalDepartment of Medical Oncology, City of Hope, Duarte, California.
Jeremy O JonesDepartment of Medical Oncology, City of Hope, Duarte, California.ORCID 0000-0002-6080-8103
City Of Hope National Medical Center · USCity of Hope · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572NCI NIH HHS P30CA033572
6 · The paper itself

Abstract

backgroundProstate cancer (PC) remains a leading cause of cancer mortality and the most successful chemopreventative and treatment strategies for PC come from targeting the androgen receptor (AR). Although AR plays a key role, it is likely that other molecular pathways also contribute to PC, making it essential to identify and develop drugs against novel targets. Recent studies have identified peroxisome proliferator-activated receptor gamma (PPARγ), a nuclear receptor that regulates fatty acid (FA) metabolism, as a novel target in PC, and suggest that inhibitors of PPARγ could be used to treat existing disease. We hypothesized that PPARγ acts through AR-dependent and independent mechanisms to control PC development and growth and that PPARγ inhibition is a viable PC treatment strategy.

methodsImmunohistochemistry was used to determine expression of PPARү in a cohort of patients with PC. Standard molecular techniques were used to investigate the PPARү signaling in PC cells as well a xenograft mouse model to test PPARү inhibition in vivo. Kaplan-Meier curves were created using cBioportal.

resultsWe confirmed the expression of PPARү in human PC. We then showed that small molecule inhibition of PPARγ decreases the growth of AR-positive and -negative PC cells in vitro and that T0070907, a potent PPARγ antagonist, significantly decreased the growth of human PC xenografts in nude mice. We found that PPARγ antagonists or small interfering RNA (siRNA) do not affect mitochondrial activity nor do they cause apoptosis; instead, they arrest the cell cycle. In AR-positive PC cells, antagonists and siRNAs reduce AR transcript and protein levels, which could contribute to growth inhibition. AR-independent effects on growth appear to be mediated by effects on FA metabolism as the specific FASN inhibitor, Fasnall, inhibited PC cell growth but did not have an additive effect when combined with PPARγ antagonists. Patients with increased PPARү target gene expression, but not alterations in PPARү itself, were found to have significantly worse overall survival.

conclusionsHaving elucidated the direct cancer cell effects of PPARγ inhibition, our studies have helped to determine the role of PPARγ in PC growth, and support the hypothesis that PPARγ inhibition is an effective strategy for PC treatment.

Indexed as

AnimalsBenzamidesCell Cycle CheckpointsCell Growth ProcessesCell Line, TumorFatty AcidsHumansMaleMiceMice, NudeMolecular Targeted TherapyPPAR gammaProstatic NeoplasmsPyridinesReceptors, AndrogenTranscription, GeneticAR protein, humanBenzamidesFatty AcidsPPAR gammaPPARG protein, humanPyridinesReceptors, AndrogenT 0070907androgen receptorPPARγprostate cancer

Identifiers

PMID31769890
PMCPMC8985763
OpenAlexW2989664637

What OpenQuestion holds

Textmetadata
LicenceTDM
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.