Evidence map›Paper›PMID 32560058›Full record

ArticleCells2020

High Content Screening Using New U2OS Reporter Cell Models Identifies Harmol Hydrochloride as a Selective and Competitive Antagonist of the Androgen Receptor.

Hadjer Dellal, Abdelhay Boulahtouf, Elina Alaterre, Alice Cuenant, Marina Grimaldi, William Bourguet, Céline Gongora, Patrick Balaguer, Philippe Pourquier

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. 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
1.1field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Hadjer DellalIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.
Abdelhay BoulahtoufIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.
Elina AlaterreIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.
Alice CuenantIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.
Marina GrimaldiIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.
William BourguetUniversité de Montpellier, F-34298 Montpellier, France.ORCID 0000-0002-0643-7719
Céline GongoraIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.
Patrick BalaguerIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.ORCID 0000-0002-3524-3622
Philippe PourquierIRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, F-34298 Montpellier, France.ORCID 0000-0001-5326-3005
Inserm · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is the most commonly diagnosed malignancy in men. Its growth mainly relies on the activity of the androgen receptor (AR), justifying the use of androgen deprivation therapy as a gold standard treatment for the metastatic disease. Inhibition of the androgen axis using second generation antagonists has improved patients' survival, but is systematically confronted to resistance mechanisms, leading to a median survival that does not exceed 5 years. Counteracting this resistance has been the object of a large number of investigations, with a particular emphasis towards the identification of new AR inhibitors, whether they antagonize the receptor by a competitive or a non-competitive binding. To this end, many high content screens have been performed, to identify new non-steroidal AR antagonists, using a variety of approaches, but reported somewhat controversial results, depending on the approach and on the cell model that was used for screening. In our study, we used the U2OS osteosarcoma cells stably transfected with AR or ARv7 and a luciferase reporter as a previously validated model to screen the Prestwick Phytochemical library. The results of our screen identified ellipticine, harmol, and harmine hydrochloride as confirmed hits. Surprisingly, we could demonstrate that harmol hydrochloride, previously identified as a non-competitive inhibitor of AR or a weak inhibitor of androgen signaling, was actually a competitive antagonist of AR, which inhibits the growth of VCaP prostate cancer line, at concentrations for which it did not affect the growth of the AR negative DU145 and PC3 cells. Interestingly, we also report for the first time that harmol hydrochloride was selective for AR, as it could not alter the activity of other nuclear receptors, such as the glucocorticoid receptor (GR), the progesterone receptor (PR), or the mineralocorticoid receptor (MR). Additionally, we demonstrate that, conversely to enzalutamide, harmol hydrochloride did not show any agonistic activity towards the pregnane X receptor (PXR), a master regulator of drug metabolism. Together, our results shed light on the importance of the cellular context for the screening of new AR antagonists. They further indicate that some of the potential hits that were previously identified may have been overlooked.

Indexed as

Androgen AntagonistsAndrogen Receptor AntagonistsCell ProliferationDrug Resistance, NeoplasmHarmineHumansMaleProstatic NeoplasmsReceptors, AndrogenAndrogen AntagonistsAndrogen Receptor AntagonistsHarmineReceptors, Androgenandrogen receptorantagonistsharmol hydrochloridehigh content screeningprostate cancerresistance to castration

Identifiers

PMID32560058
PMCPMC7349874
OpenAlexW3034348395

What OpenQuestion holds

Textmetadata
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.