authors |
Moreira-Silva, F; Camilo, V; Gaspar, V; Mano, JE; Henrique, R; Jeronimo, C |
nationality |
International |
journal |
PHARMACEUTICS |
author keywords |
cancer; prostate cancer; CRPC; drug repurposing; epigenetic; epi-drugs |
keywords |
HISTONE DEACETYLASE INHIBITOR; TUMOR-SUPPRESSOR GENES; PROSTATE-CANCER; DNA METHYLATION; MYELODYSPLASTIC SYNDROMES; TRICHOSTATIN-A; DEMETHYLASE 1; CELL-DEATH; EXPRESSION; APICIDIN |
abstract |
Epigenetic alterations, as a cancer hallmark, are associated with cancer initiation, progression and aggressiveness. Considering, however, that these alterations are reversible, drugs that target epigenetic machinery may have an inhibitory effect upon cancer treatment. The traditional drug discovery pathway is time-consuming and expensive, and thus, new and more effective strategies are required. Drug Repurposing (DR) comprises the discovery of a new medical indication for a drug that is approved for another indication, which has been recalled, that was not accepted or failed to prove efficacy. DR presents several advantages, mainly reduced resources, absence of the initial target discovery process and the reduced time necessary for the drug to be commercially available. There are numerous old drugs that are under study as repurposed epigenetic inhibitors which have demonstrated promising results in in vitro tumor models. Herein, we summarize the DR process and explore several repurposed drugs with different epigenetic targets that constitute promising candidates for cancer treatment, highlighting their mechanisms of action. |
publisher |
MDPI |
isbn |
1999-4923 |
year published |
2020 |
volume |
12 |
issue |
5 |
digital object identifier (doi) |
10.3390/pharmaceutics12050410 |
web of science category |
Pharmacology & Pharmacy |
subject category |
Pharmacology & Pharmacy |
unique article identifier |
WOS:000543393700006
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ciceco authors
impact metrics
journal analysis (jcr 2019):
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journal impact factor |
4.421 |
5 year journal impact factor |
Not Available |
category normalized journal impact factor percentile |
83.889 |
dimensions (citation analysis):
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altmetrics (social interaction):
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