Evidence map›Paper›PMID 33280279›Full record

ReviewPharmacology research & perspectives2020

Identification of an irreversible PPARγ antagonist with potent anticancer activity.

Youyi Peng, Qiang Zhang, Robert M Zielinski, Richard D Howells, William J Welsh

Open access · goldAbstract readReview
In one paragraph

Review in Pharmacology research & perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
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

5 authors at 1 institution in 1 country.

Youyi PengBiomedical Informatics Shared Resource, Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.ORCID 0000-0003-4797-995X
Qiang ZhangDepartment of Pharmacology, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Robert M ZielinskiGraduate School of Biomedical Sciences, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA.ORCID 0000-0002-5275-1450
Richard D HowellsDepartment of Biochemistry & Molecular Biology, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA.
William J WelshBiomedical Informatics Shared Resource, Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Rutgers, The State University of New Jersey · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Supercomputing: Rutgers' Catalyst for Discovery at the Frontiers of MedicineS10OD012346 · OD · RBHS-NEW JERSEY MEDICAL SCHOOL · PI MICHELSON, LESLIE PAUL · 2015 to 2015
$1.7M
NCI NIH HHS P30 CA072720NIH HHS 1S10OD012346-01A1NIH HHS P30CA072720-5917NIH HHS S10 OD012346
6 · The paper itself

Abstract

Melanoma is responsible for most skin cancer deaths, and its incidence continues to rise year after year. Different treatment options have been developed for melanoma depending on the stage of the disease. Despite recent advances in immuno- and targeted therapies, advanced melanoma remains incurable and thus an urgent need persists for safe and more effective melanoma therapeutics. In this study, we demonstrate that a novel compound MM902 (3-(3-(bromomethyl)-5-(4-(tert-butyl) phenyl)-1H-1,2,4-triazol-1-yl) phenol) exhibited potent efficacies in inhibiting the growth of different cancer cells, and suppressed tumor growth in a mouse xenograft model of malignant melanoma. Beginning with MM902 instead of specific targets, computational similarity- and docking-based approaches were conducted to search for known anticancer drugs whose structural features match MM902 and whose pharmacological target would accommodate an irreversible inhibitor. Peroxisome proliferator-activated receptor (PPAR) was computationally identified as one of the pharmacological targets and confirmed by in vitro biochemical assays. MM902 was shown to bind to PPARγ in an irreversible mode of action and to function as a selective antagonist for PPARγ over PPARα and PPARδ. It is hoped that MM902 will serve as a valuable research probe to study the functions of PPARγ in tumorigenesis and other pathological processes.

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorComputational BiologyCutaneous Malignant MelanomaDose-Response Relationship, DrugFemaleHumansMelanomaMiceMice, SCIDMolecular Docking SimulationPPAR gammaSkin NeoplasmsXenograft Model Antitumor AssaysAntineoplastic AgentsPPAR gammaanticancerirreversible antagonistmelanomaPPARγ

Identifiers

PMID33280279
PMCPMC7719157
OpenAlexW3111675616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.