Autor: |
Soon-Ki Hong, Haeseung Lee, Ok-Seon Kwon, Na-Young Song, Hyo-Ju Lee, Seungmin Kang, Jeong-Hwan Kim, Mirang Kim, Wankyu Kim, Hyuk-Jin Cha |
Jazyk: |
angličtina |
Rok vydání: |
2018 |
Předmět: |
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Zdroj: |
Molecular Cancer, Vol 17, Iss 1, Pp 1-7 (2018) |
Druh dokumentu: |
article |
ISSN: |
1476-4598 |
DOI: |
10.1186/s12943-018-0924-8 |
Popis: |
Abstract Even when targets responsible for chemoresistance are identified, drug development is often hampered due to the poor druggability of these proteins. We systematically analyzed therapy-resistance with a large-scale cancer cell transcriptome and drug-response datasets and predicted the candidate drugs based on the gene expression profile. Our results implicated the epithelial–mesenchymal transition as a common mechanism underlying resistance to chemotherapeutic drugs. Notably, we identified ITGB3, whose expression was abundant in both drug resistance and mesenchymal status, as a promising target to overcome chemoresistance. We also confirmed that depletion of ITGB3 sensitized cancer cells to conventional chemotherapeutic drugs by modulating the NF-κB signaling pathway. Considering the poor druggability of ITGB3 and the lack of feasible drugs to directly inhibit this protein, we took an in silico screening for drugs mimicking the transcriptome-level changes caused by knockdown of ITGB3. This approach successfully identified atorvastatin as a novel candidate for drug repurposing, paving an alternative path to drug screening that is applicable to undruggable targets. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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