Evidence map›Paper›PMID 38809637›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

Identification of Genes Hub Associated with Triple-Negative Breast Cancer and Cannabidiol Analogs Potential Inhibitory Agents: An In-silico Study.

Neyder Contreras-Puentes, Antistio Alviz-Amador, Janer Andres Zabaleta-Guzman, Rafael Pineda Aleman, Arnulfo Tarón Dunoyer

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

3 citing papers in PubMed.

  1. Review
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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

5 authors.

Neyder Contreras-PuentesGINUMED, Rafael Núñez University Corporation, Cartagena D.T. y C. Colombia.ORCID 0000-0003-0974-8894
Antistio Alviz-AmadorPharmacology and Therapeutic group, University of Cartagena, Cartagena D.T. y C. Colombia.ORCID 0000-0002-7324-2487
Janer Andres Zabaleta-GuzmanPharmacology and Therapeutic group, University of Cartagena, Cartagena D.T. y C. Colombia.ORCID 0009-0009-6419-0302
Rafael Pineda AlemanPharmacology and Therapeutic group, University of Cartagena, Cartagena D.T. y C. Colombia.ORCID 0000-0002-4259-1780
Arnulfo Tarón DunoyerGIBAE Research Group, Faculty of Engineering, University of Cartagena, Cartagena, D.T. y C, Colombia.ORCID 0000-0001-7540-0920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTriple-negative breast cancer presents a significant challenge in oncology due to its complex treatment and aggressive nature. This subtype lacks common cancer cell receptors like estrogen, progesterone, and human epidermal growth factor receptor 2 receptors. This study aimed to identify, through bioinformatic analysis, the key genes associated with triple-negative breast cancer. In addition, CBD analogs with potential inhibitory effects on these genes were evaluated through docking and molecular dynamics.

methodsGene expression profiles from the GSE178748 dataset were analyzed, focusing on MDA-MB-231 breast cancer cell lines. Differentially expressed genes were determined through protein-protein interaction networks and subsequently validated. Additionally, the inhibitory effects of cannabidiol analogs on these hub genes were assessed using molecular docking and dynamics.

resultsAnalysis of the hub highlighted RPL7A, NHP2L1, and PSMD11 as significant players in TNBC regulation. Ligand 44409296 showed the best affinity energy with RPL7A, while 166505341 exhibited the highest affinity with NHP2L1 and PSMD11, surpassing CBD. Analyses of RMSD, RMSF, SASA, and Gyration Radius indicated structural stability and interactions of the proteins with ligands over time. MMGBSA calculations showed favorable binding energies for the ligands with the target proteins.

conclusionIn conclusion, this study identified key genes, namely RPL7A, NHP2L1, and PSMD11, associated with triple-negative breast cancer and demonstrated promising interactions with cannabidiol analogs, particularly 44409296 and 166505341. These findings suggest potential therapeutic targets and highlight the relevance of further clinical investigations. Additionally, the ligands exhibited favorable ADME properties and low toxicity, underscoring their potential in future drug development for TNBC treatment.

Indexed as

CannabidiolMolecular Docking SimulationTriple Negative Breast NeoplasmsAntineoplastic AgentsCell Line, TumorComputational BiologyComputer SimulationFemaleGene Expression Regulation, NeoplasticHumansMolecular Dynamics SimulationProtein Interaction MapsAntineoplastic AgentsCannabidiolBioinformatic analysisCannabidiolMolecular dockingMolecular DynamicsTriple-negative breast cancer

Identifiers

PMID38809637
PMCPMC11318821

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