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Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin

Cardiac glycosides, such as digoxin, inhibit Na(+)/K(+)-ATPases and cause secondary activation of Na(+)/Ca(2+) exchangers. Preclinical investigations have suggested that digoxin may have anticancer properties. In order to clarify the functional mechanisms of digoxin in cancer, we performed an integr...

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Autores principales: Yokoyama, Satoshi, Sugimoto, Yasuhiro, Nakagawa, Chihiro, Hosomi, Kouichi, Takada, Mitsutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851125/
https://www.ncbi.nlm.nih.gov/pubmed/31719612
http://dx.doi.org/10.1038/s41598-019-53392-y
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author Yokoyama, Satoshi
Sugimoto, Yasuhiro
Nakagawa, Chihiro
Hosomi, Kouichi
Takada, Mitsutaka
author_facet Yokoyama, Satoshi
Sugimoto, Yasuhiro
Nakagawa, Chihiro
Hosomi, Kouichi
Takada, Mitsutaka
author_sort Yokoyama, Satoshi
collection PubMed
description Cardiac glycosides, such as digoxin, inhibit Na(+)/K(+)-ATPases and cause secondary activation of Na(+)/Ca(2+) exchangers. Preclinical investigations have suggested that digoxin may have anticancer properties. In order to clarify the functional mechanisms of digoxin in cancer, we performed an integrative analysis of clinical and bioinformatics databases. The US Food and Drug Administration Adverse Event Reporting System and the Japan Medical Data Center claims database were used as clinical databases to evaluate reporting odds ratios and adjusted sequence ratios, respectively. The BaseSpace Correlation Engine and Connectivity Map bioinformatics databases were used to investigate molecular pathways related to digoxin anticancer mechanisms. Clinical database analyses suggested an inverse association between digoxin and four cancers: gastric, colon, prostate and haematological malignancy. The bioinformatics database analysis suggested digoxin may exert an anticancer effect via peroxisome proliferator-activated receptor α and apoptotic caspase cascade pathways. Our integrative analysis revealed the possibility of digoxin as a drug repositioning candidate for cancers.
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spelling pubmed-68511252019-11-19 Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin Yokoyama, Satoshi Sugimoto, Yasuhiro Nakagawa, Chihiro Hosomi, Kouichi Takada, Mitsutaka Sci Rep Article Cardiac glycosides, such as digoxin, inhibit Na(+)/K(+)-ATPases and cause secondary activation of Na(+)/Ca(2+) exchangers. Preclinical investigations have suggested that digoxin may have anticancer properties. In order to clarify the functional mechanisms of digoxin in cancer, we performed an integrative analysis of clinical and bioinformatics databases. The US Food and Drug Administration Adverse Event Reporting System and the Japan Medical Data Center claims database were used as clinical databases to evaluate reporting odds ratios and adjusted sequence ratios, respectively. The BaseSpace Correlation Engine and Connectivity Map bioinformatics databases were used to investigate molecular pathways related to digoxin anticancer mechanisms. Clinical database analyses suggested an inverse association between digoxin and four cancers: gastric, colon, prostate and haematological malignancy. The bioinformatics database analysis suggested digoxin may exert an anticancer effect via peroxisome proliferator-activated receptor α and apoptotic caspase cascade pathways. Our integrative analysis revealed the possibility of digoxin as a drug repositioning candidate for cancers. Nature Publishing Group UK 2019-11-12 /pmc/articles/PMC6851125/ /pubmed/31719612 http://dx.doi.org/10.1038/s41598-019-53392-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yokoyama, Satoshi
Sugimoto, Yasuhiro
Nakagawa, Chihiro
Hosomi, Kouichi
Takada, Mitsutaka
Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin
title Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin
title_full Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin
title_fullStr Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin
title_full_unstemmed Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin
title_short Integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin
title_sort integrative analysis of clinical and bioinformatics databases to identify anticancer properties of digoxin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851125/
https://www.ncbi.nlm.nih.gov/pubmed/31719612
http://dx.doi.org/10.1038/s41598-019-53392-y
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