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Metformin down‐regulates TGF beta signal transduction and production of PAR2 N‐terminus cleaving protease activity in an NR4a1 dependent manner in a PC3 prostate cancer cell line

2022· article· en· W4225410866 on OpenAlexaff
Koichiro Mihara, Mahmoud Saifeddine, Morley D. Hollenberg

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAutocrine signallingCTGFCancer researchReceptorSignal transductionCancer cellMetforminTransfectionDownregulation and upregulationTransforming growth factor betaCell growthEndocrinologyCell biologyChemistryInternal medicineCell cultureBiologyCancerMedicineGrowth factorBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE Our aim is to understand the mechanisms of metformin’s antitumor actions HYPOTHESIS Metformin is known to have antitumour effects in cancers like head & neck cancer, that may involve its regulation of TGF‐β signalling, but the metformin receptor mechanisms for this action are not known. We recently discovered that the action of metformin to preserve hypoglycaemia‐impaired endothelial cell function regulated by proteinase‐activated receptor‐2 (PAR2) requires its interaction with the orphan nuclear receptor, NR4A1 (PubMed ID 34452975). PAR2 also plays a role in regulating prostate cancer PC3 cell function whereby autocrine signaling occurs in PC3 cells which secrete a PAR2‐cleaving/activating matrix metalloproteinase, MMP2. We hypothesized that metformin can act in PC3 prostate cancer‐derived cells via NR4A1 to change TGF‐β signalling and to alter the production of PAR‐cleaving proteinases. METHODS The ability of TGF‐β to upregulate connective tissue growth factor (CTGF) mRNA in PC3 cells was measured for metformin treated cells (</=100 μM) that were transfected with NR4A1, C‐terminally tagged with red‐fluorescent protein (RFP): either wild‐type (WT) or mutant (PPGG) murine NR4A1 that does not interact with metformin. TGF‐β upregulated CTGF mRNA in PC3 cells was monitored after metformin treatment for 20 hours. In similarly transfected WT and mutant PPGG NR4A1‐expressing PC3 cells, treated or not with metformin (</=100 μM), the cleavage status of dually tagged transfected N‐terminal RFP/C‐terminal GFP‐PAR2 was monitored: (confocal imaging: yellow = intact receptor; green = cleaved receptor). Concurrently, the abundance of MMP activity of PC3 cell supernatants was measured by a fluorogenic MMP substrate, Mca‐RPKPVE‐Nval‐WRK(Dnp)‐NH2 (ES002). RESULTS The expected TGF‐β upregulated CTGF mRNA in PC3 cells was prevented by metformin treatment, but only for cells transfected with the WT and not the mutant PPGG NR4A1. Metformin acted at concentrations (</=100 μM) far lower than those that affect mitochondrial complex I (> mM). We also found that in WT, but not PPGG mutant‐transfected PC3 cells, metformin (</=100 μM) down‐regulated MMP PAR2‐cleaving proteinase activity. CONCLUSIONS Our results show that low concentrations of metformin (</=100 μM), in the presence of wild‐type but not PPGG mutant NR4A1 which does not enable metformin interactions at the NR4A1 alternative ligand binding site, can both block TGF‐ β signaling and reduce cell‐secreted MMP activity that in turn can drive tissue invasion and metastasis via PAR2 activation. Thus, NR4A1 may play a role in the antitumour actions of metformin.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.256
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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