Evidence map›Paper›PMID 39468096›Full record

ArticleScientific reports2024

Mechanistic exploration of bioactive constituents in Gnetum gnemon for GPCR-related cancer treatment through network pharmacology and molecular docking.

Moragot Chatatikun, Nawanwat C Pattaranggoon, Imran Sama-Ae, Onggan Ranteh, Manlika Poolpirom, Oranan Pantanakong, Pitchaporn Chumworadet, Fumitaka Kawakami, Motoki Imai, Aman Tedasen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Demethoxycurcumin exhibits amoebicidal activity againstCurrent research in parasitology & vector-borne diseases · 2026
    Article
  6. Chemical Composition and Anti-Lung Cancer Activities ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
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.

Moragot ChatatikunSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Nawanwat C PattaranggoonFaculty of Medical Technology, Rangsit University, Muang Pathumthani, Pathumthani, 12000, Thailand.
Imran Sama-AeSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Onggan RantehDepartment of Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Manlika PoolpiromSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Oranan PantanakongSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Pitchaporn ChumworadetSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Fumitaka KawakamiResearch Facility of Regenerative Medicine and Cell Design, School of Allied Health Sciences, Kitasato University, Sagamihara, 252-0373, Japan.
Motoki ImaiResearch Facility of Regenerative Medicine and Cell Design, School of Allied Health Sciences, Kitasato University, Sagamihara, 252-0373, Japan.
Aman TedasenSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, 80161, Thailand. aman.te@wu.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G Protein-Coupled Receptors (GPCRs) are integral membrane proteins that have gained considerable attention as drug targets, particularly in cancer treatment. In this study, we explored the capacity of bioactive compounds derived from Gnetum gnemon (GG) for the development of of pharmaceuticals targeting GPCRs within the context of cancer therapy. Integrated approach combined network pharmacology and molecular docking to identify and validate the underlying pharmacological mechanisms. We retrieved targets for GG-derived compounds and GPCRs-related cancer from databases. Subsequently, we established a protein-protein interaction (PPI) network by mapping the shared targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were employed to predict the mechanism of action of these targets. Molecular docking was conducted to validate our findings. We identified a total of 265 targets associated with GG-derived bioactive compounds for the treatment of GPCRs-related cancer. Functional enrichment analysis revealed the promising therapeutic effects of these targets on GPCRs-related cancer pathways. The PPI network analysis identified hub targets, including MAPK3, SRC, EGFR, STAT3, ESR1, MTOR, CCND1, and PPARG, which demonstrate as treatment targets for GPCRs-related cancer using GG-derived compounds. Additionally, molecular docking experiments demonstrated the strong binding affinity of gnetin A, gnetin C, (-)-viniferin, and resveratrol dimer, thus inhibiting MAPK3, SRC, EGFR, and MTOR. Survival analysis established the clinical prognostic relevance of identified hub genes in cancer. This study presents a novel approach for comprehending the therapeutic mechanisms of GG-derived active compounds and thereby paving the way for their prospective clinical applications in the field of cancer treatment.

Indexed as

Molecular Docking SimulationNeoplasmsNetwork PharmacologyProtein Interaction MapsReceptors, G-Protein-CoupledHumansReceptors, G-Protein-CoupledADMECancerGPCRsMolecular dockingNetwork pharmacology

Identifiers

PMID39468096
PMCPMC11519448

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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.