JOURNAL ARTICLE
Involvement of cardiac glycosides targeting Na/K-ATPase in their inhibitory effects on c-Myc expression via its transcription, translation and proteasomal degradation.
Published In: Journal of Biochemistry, 2024, v. 175, n. 3. P. 253 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Tokugawa, Muneshige; Inoue, Yasumichi; Aoki, Hiromasa; Miyajima, Chiharu; Ishiuchi, Kan'ichiro; Tsurumi, Kento; Kujirai, Chisane; Morishita, Daisuke; Matsuno, Michiyo; Mizukami, Hajime; Ri, Masaki; Iida, Shinsuke; Makino, Toshiaki; Aoyama, Mineyoshi; Hayashi, Hidetoshi 3 of 3
Abstract
This article focuses on the anti-tumor mechanisms of cardiac glycosides (CGs), natural compounds traditionally used to treat heart failure, and their potential repositioning as cancer therapeutics. Using transcriptome profiling of human multiple myeloma AMO1 cells treated with periplocin, a CG, the study found significant down-regulation of the oncogene MYC (c-Myc) at both mRNA and protein levels across various cancer cell lines. The suppression of c-Myc by CGs was linked to the α1-subunit of Na/K-ATPase (α1-NKA), as CG-resistant cells harboring a mutation (D128N) in α1-NKA showed resistance to c-Myc inhibition and reduced sensitivity to CGs. These findings suggest that CGs inhibit c-Myc expression through α1-NKA-mediated pathways involving decreased transcription, reduced global protein synthesis, and enhanced proteasomal degradation, supporting their potential use as anti-cancer agents.
Additional Information
- Source:Journal of Biochemistry. 2024/03, Vol. 175, Issue 3, p253
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:0021-924X
- DOI:10.1093/jb/mvad085
- Accession Number:175800733
- Copyright Statement:Copyright of Journal of Biochemistry is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.