ID | 119176 |
Author |
Inoue, Takahisa
Tokushima University
Fukushima, Keijo
Tokushima University
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Yamashita, Ryosuke
Tokushima University
Nakayama, Ryo
Tokushima University
Nojima, Masataka
Tokushima University
Kondo, Kosuke
Tokushima University
Gomi, Yoshiki
Tokushima University
Tsunematsu, Honoka
Tokushima University
Goto, Kohei
Tokushima University
Funamoto, Masafumi
Tokushima University
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Denda, Masaya
Tokushima University
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Ishizawa, Keisuke
Tokushima University
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Otaka, Akira
Tokushima University
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Keywords | Pancreatic ductal adenocarcinoma
Hypoxia
Bioinformatics
Carbonic anhydrase IX
PRELI domain containing 2
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Content Type |
Journal Article
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Description | A strong hypoxic environment has been observed in pancreatic ductal adenocarcinoma (PDAC) cells, which contributes to drug resistance, tumor progression, and metastasis. Therefore, we performed bioinformatics analyses to investigate potential targets for the treatment of PDAC. To identify potential genes as effective PDAC treatment targets, we selected all genes whose expression level was related to worse overall survival (OS) in The Cancer Genome Atlas (TCGA) database and selected only the genes that matched with the genes upregulated due to hypoxia in pancreatic cancer cells in the dataset obtained from the Gene Expression Omnibus (GEO) database. Although the extracted 107 hypoxia-responsive genes included the genes that were slightly enriched in angiogenic factors, TCGA data analysis revealed that the expression level of endothelial cell (EC) markers did not affect OS. Finally, we selected CA9 and PRELID2 as potential targets for PDAC treatment and elucidated that a CA9 inhibitor, U-104, suppressed pancreatic cancer cell growth more effectively than 5-fluorouracil (5-FU) and PRELID2 siRNA treatment suppressed the cell growth stronger than CA9 siRNA treatment. Thus, we elucidated that specific inhibition of PRELID2 as well as CA9, extracted via exhaustive bioinformatic analyses of clinical datasets, could be a more effective strategy for PDAC treatment.
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Journal Title |
Journal of Pharmacological Sciences
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ISSN | 13478648
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Publisher | Elsevier|Japanese Pharmacological Society
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Volume | 153
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Issue | 4
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Start Page | 232
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End Page | 242
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Published Date | 2023-10-17
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Rights | This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
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TextVersion |
Publisher
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departments |
University Hospital
Pharmaceutical Sciences
Medical Sciences
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