Evidence map›Paper›PMID 39966335›Full record

ArticleCell biochemistry and biophysics2025

Therapeutic Role of Quercetin in Prostate Cancer: A Study of Network Pharmacology, Molecular Docking, and Dynamics Simulation.

Fernando Martínez-Esquivias, Juan Manuel Guzmán-Flores, Edar O Pech-Santiago, Alma Lilian Guerrero-Barrera, Claudia Karina Delgadillo-Aguirre, Luis Miguel Anaya-Esparza

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Article in Cell biochemistry and biophysics, 2025. 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
–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

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.

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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

6 authors.

Fernando Martínez-EsquiviasDepartamento de Ciencias de la Salud, Centro Universitario de Los Altos, Universidad de Guadalajara, Tepatitlán de Morelos, Jalisco, México. fernando.mesquivias@academicos.udg.mx.
Juan Manuel Guzmán-FloresDepartamento de Ciencias de la Salud, Centro Universitario de Los Altos, Universidad de Guadalajara, Tepatitlán de Morelos, Jalisco, México.
Edar O Pech-SantiagoCentro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional: Ciudad de México, Mexico City, México.
Alma Lilian Guerrero-BarreraLaboratorio de Biología Celular y Tisular, Departamento de Morfología, Centro de Ciencias Básicas, Universidad Autónoma de Aguascalientes, Aguascalientes, CP, 20100, México.
Claudia Karina Delgadillo-AguirreLaboratorio de Biología Celular y Tisular, Departamento de Morfología, Centro de Ciencias Básicas, Universidad Autónoma de Aguascalientes, Aguascalientes, CP, 20100, México.
Luis Miguel Anaya-EsparzaCentro de Estudios para la Agricultura, la Alimentación y la Crisis Climática, Centro Universitario de los Altos, Universidad de Guadalajara, Tepatitlán de Morelos, 47620, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is a major cause of cancer-related mortality in men. This study explores the anticancer potential of Quercetin, a polyphenolic compound with antioxidant and anti-inflammatory properties, by network pharmacology, molecular docking, and molecular dynamics simulation approaches. Target genes for Quercetin and PCa were identified from the bioinformatics databases MalaCards, Comparative Toxicogenomics Databases, SwissTargetPrediction, and Traditional Chinese Medicine Systems Pharmacology, and the obtained genes were matched using the Venny platform to find out the common genes. We obtained 11 preliminary genes and analyzed them in ShinyGO-0.77 databases to obtain genetic otology data. Then, we constructed a protein-protein interaction network in STRING, which enabled us to identify six hub genes AKT1, EGFR, MMP2, MMP9, PARP1, and ABCG2. Hub genes were analyzed in the TISIDB database for immune cell infiltration. Furthermore, a molecular docking study between the target proteins and Quercetin was performed in the SwissDock databases. Subsequently, we corroborated the docking with molecular dynamics studies using GROMACS software. Gene Ontology and KEGG pathway analyses revealed that Quercetin influences oxidative stress, mitochondrial function, and metalloproteinase activity. Immune cell infiltration analysis highlighted correlations between key genes and specific immune responses, suggesting a modulatory role of Quercetin in the tumor microenvironment. Finally, docking and molecular dynamics analysis showed that Quercetin has a stable interaction with the hub genes. In conclusion, these findings underline the potential of Quercetin to induce apoptosis, inhibit angiogenesis, and suppress metastasis, proposing it as a promising therapeutic tool for the treatment of PCa. However, additional experimental studies are required to translate these findings into clinical practice.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologyProstatic NeoplasmsQuercetinHumansMaleProtein Interaction MapsQuercetinMolecular dockingMolecular DynamicsNetwork pharmacologyProstate cancerQuercetin

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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.