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Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer

In the field of drug repurposing, the use of statins for treating dyslipidemia is considered promising in ovarian cancer treatment based on epidemiological studies and basic research findings. Biomarkers should be established to identify patients who will respond to statin treatment to achieve clini...

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Autores principales: Kobayashi, Yusuke, Takeda, Takashi, Kunitomi, Haruko, Chiwaki, Fumiko, Komatsu, Masayuki, Nagai, Shimpei, Nogami, Yuya, Tsuji, Kosuke, Masuda, Kenta, Ogiwara, Hideaki, Sasaki, Hiroki, Banno, Kouji, Aoki, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880614/
https://www.ncbi.nlm.nih.gov/pubmed/35215239
http://dx.doi.org/10.3390/ph15020124
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author Kobayashi, Yusuke
Takeda, Takashi
Kunitomi, Haruko
Chiwaki, Fumiko
Komatsu, Masayuki
Nagai, Shimpei
Nogami, Yuya
Tsuji, Kosuke
Masuda, Kenta
Ogiwara, Hideaki
Sasaki, Hiroki
Banno, Kouji
Aoki, Daisuke
author_facet Kobayashi, Yusuke
Takeda, Takashi
Kunitomi, Haruko
Chiwaki, Fumiko
Komatsu, Masayuki
Nagai, Shimpei
Nogami, Yuya
Tsuji, Kosuke
Masuda, Kenta
Ogiwara, Hideaki
Sasaki, Hiroki
Banno, Kouji
Aoki, Daisuke
author_sort Kobayashi, Yusuke
collection PubMed
description In the field of drug repurposing, the use of statins for treating dyslipidemia is considered promising in ovarian cancer treatment based on epidemiological studies and basic research findings. Biomarkers should be established to identify patients who will respond to statin treatment to achieve clinical application. In the present study, we demonstrated that statins have a multifaceted mode of action in ovarian cancer and involve pathways other than protein prenylation. To identify biomarkers that predict the response to statins, we subjected ovarian cancer cells to microarray analysis and calculated Pearson’s correlation coefficients between gene expression and cell survival after statin treatment. The results showed that VDAC1 and LDLRAP1 were positively and negatively correlated with the response to statins, respectively. Histoculture drug response assays revealed that statins were effective in clinical samples. We also confirmed the synergistic effects of statins with paclitaxel and panobinostat and determined that statins are hematologically safe to administer to statin-treated mice. Future clinical trials based on the expression of the biomarkers identified in this study for repurposing statins for ovarian cancer treatment are warranted.
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spelling pubmed-88806142022-02-26 Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer Kobayashi, Yusuke Takeda, Takashi Kunitomi, Haruko Chiwaki, Fumiko Komatsu, Masayuki Nagai, Shimpei Nogami, Yuya Tsuji, Kosuke Masuda, Kenta Ogiwara, Hideaki Sasaki, Hiroki Banno, Kouji Aoki, Daisuke Pharmaceuticals (Basel) Article In the field of drug repurposing, the use of statins for treating dyslipidemia is considered promising in ovarian cancer treatment based on epidemiological studies and basic research findings. Biomarkers should be established to identify patients who will respond to statin treatment to achieve clinical application. In the present study, we demonstrated that statins have a multifaceted mode of action in ovarian cancer and involve pathways other than protein prenylation. To identify biomarkers that predict the response to statins, we subjected ovarian cancer cells to microarray analysis and calculated Pearson’s correlation coefficients between gene expression and cell survival after statin treatment. The results showed that VDAC1 and LDLRAP1 were positively and negatively correlated with the response to statins, respectively. Histoculture drug response assays revealed that statins were effective in clinical samples. We also confirmed the synergistic effects of statins with paclitaxel and panobinostat and determined that statins are hematologically safe to administer to statin-treated mice. Future clinical trials based on the expression of the biomarkers identified in this study for repurposing statins for ovarian cancer treatment are warranted. MDPI 2022-01-21 /pmc/articles/PMC8880614/ /pubmed/35215239 http://dx.doi.org/10.3390/ph15020124 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kobayashi, Yusuke
Takeda, Takashi
Kunitomi, Haruko
Chiwaki, Fumiko
Komatsu, Masayuki
Nagai, Shimpei
Nogami, Yuya
Tsuji, Kosuke
Masuda, Kenta
Ogiwara, Hideaki
Sasaki, Hiroki
Banno, Kouji
Aoki, Daisuke
Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer
title Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer
title_full Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer
title_fullStr Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer
title_full_unstemmed Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer
title_short Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer
title_sort response predictive markers and synergistic agents for drug repositioning of statins in ovarian cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880614/
https://www.ncbi.nlm.nih.gov/pubmed/35215239
http://dx.doi.org/10.3390/ph15020124
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