Searching for essential genes and drug discovery in breast cancer and periodontitis via text mining and bioinformatics analysis.
Journal
Anti-cancer drugs
ISSN: 1473-5741
Titre abrégé: Anticancer Drugs
Pays: England
ID NLM: 9100823
Informations de publication
Date de publication:
01 11 2021
01 11 2021
Historique:
pubmed:
30
6
2021
medline:
4
2
2022
entrez:
29
6
2021
Statut:
ppublish
Résumé
The primary purpose of the study was (1) to search for the essential genes associated with breast cancer and periodontitis, and (2) to identify candidate drugs targeted to these genes for expanding the potential drug indications. The genes related to both breast cancer and periodontitis were determined by text mining. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis were performed on these genes, and protein-protein interaction analysis was carried out to export significant module genes. Drug-gene interaction database was employed for potential drug discovery. We identified 221 genes common to both breast cancer and periodontitis. The top six significant enrichment terms and 15 enriched signal pathways were selected. Among 24 significant genes demonstrated as a gene cluster, we found SERPINA1 and TF were significantly related to poor overall survival between the relatively high and low groups in patients. Using the final two genes, 12 drugs were identified that had potential therapeutic effects. SERPINA1 and TF were screened out as essential genes related to both breast cancer and periodontitis, targeting 12 candidate drugs that may expand drug indications. Drug discovery using text mining and analysis of different databases can promote the identification of existing drugs that have the potential of administration to improve treatment in breast cancer.
Identifiants
pubmed: 34183495
doi: 10.1097/CAD.0000000000001108
pii: 00001813-202112000-00006
pmc: PMC8517104
doi:
Substances chimiques
SERPINA1 protein, human
0
Transferrin
0
alpha 1-Antitrypsin
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1038-1045Informations de copyright
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.
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