Article ; Online: Repurposing Two Old Friends to Fight Cancer: Caffeine and Statins.
2023 Volume 83, Issue 13, Page(s) 2091–2092
Abstract: Statins are a class of cholesterol-lowering drugs that inhibit 3-hydroxy-3-methylglutaryl-CoA reductase, the rate-limiting enzyme of the mevalonate pathway. Evidence suggests that certain cancers depend on the mevalonate pathway for growth and survival, ... ...
Abstract | Statins are a class of cholesterol-lowering drugs that inhibit 3-hydroxy-3-methylglutaryl-CoA reductase, the rate-limiting enzyme of the mevalonate pathway. Evidence suggests that certain cancers depend on the mevalonate pathway for growth and survival, and thus blocking the mevalonate pathway with statins may offer a viable therapeutic approach for treating cancer, or at least enhance the efficacy of existing cancer drugs. In this issue of Cancer Research, Tran and colleagues showed that caffeine works jointly with FOXM1 inhibition to enhance the antitumor activity of statins in neuroblastoma cells. They found that caffeine synergizes with statins by suppressing statin-induced feedback activation of the mevalonate pathway. Here, we reflect on the potential of combining caffeine and statin drugs as a strategy for potentiating anticancer activity. See related article by Tran et al., p. 2248. |
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MeSH term(s) | Humans ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/pharmacology ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use ; Caffeine/pharmacology ; Mevalonic Acid/metabolism ; Drug Repositioning ; Friends ; Neuroblastoma/drug therapy ; Dietary Supplements ; Forkhead Box Protein M1 |
Chemical Substances | Hydroxymethylglutaryl-CoA Reductase Inhibitors ; Caffeine (3G6A5W338E) ; Mevalonic Acid (S5UOB36OCZ) ; FOXM1 protein, human ; Forkhead Box Protein M1 |
Language | English |
Publishing date | 2023-07-05 |
Publishing country | United States |
Document type | Editorial ; Research Support, Non-U.S. Gov't ; Comment |
ZDB-ID | 1432-1 |
ISSN | 1538-7445 ; 0008-5472 |
ISSN (online) | 1538-7445 |
ISSN | 0008-5472 |
DOI | 10.1158/0008-5472.CAN-23-1066 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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