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Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology

OBJECTIVE: Arsenic trioxide (Pishuang, Pishi, arsenolite, As(2)O(3), and CAS 1327-53-3), a naturally occurring and toxic mineral as a drug for more than 2000 years in China, has been found to have a valuable function in hepatocellular carcinoma (HCC) in recent years. However, its exact mechanism rem...

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Autores principales: Wang, Xinmiao, Cao, Luchang, Wu, Jingyuan, Zhu, Guanghui, Zhu, Xiaoyu, Zhang, Xiaoxiao, Han, Duoduo, Shui, Ning, Ni, Baoyi, Li, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648446/
https://www.ncbi.nlm.nih.gov/pubmed/34880920
http://dx.doi.org/10.1155/2021/5773802
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author Wang, Xinmiao
Cao, Luchang
Wu, Jingyuan
Zhu, Guanghui
Zhu, Xiaoyu
Zhang, Xiaoxiao
Han, Duoduo
Shui, Ning
Ni, Baoyi
Li, Jie
author_facet Wang, Xinmiao
Cao, Luchang
Wu, Jingyuan
Zhu, Guanghui
Zhu, Xiaoyu
Zhang, Xiaoxiao
Han, Duoduo
Shui, Ning
Ni, Baoyi
Li, Jie
author_sort Wang, Xinmiao
collection PubMed
description OBJECTIVE: Arsenic trioxide (Pishuang, Pishi, arsenolite, As(2)O(3), and CAS 1327-53-3), a naturally occurring and toxic mineral as a drug for more than 2000 years in China, has been found to have a valuable function in hepatocellular carcinoma (HCC) in recent years. However, its exact mechanism remains to be elucidated. Therefore, this study was intended to explore the potential anti-HCC mechanism of arsenic trioxide through network pharmacology. METHODS: The potential targets of arsenic trioxide were collected from PubChem and TargetNet. HCC targets were obtained from the GeneCards database. Then, a protein-protein interaction (PPI) network of arsenic trioxide and HCC common targets was established using STRING. GO and KEGG pathway enrichment analyses were performed by the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Finally, an arsenic trioxide-target-pathway-HCC network was built by Cytoscape 3.2.1, and network topological analysis was carried out to screen the key candidate targets. RESULTS: A total of 346 corresponding targets of arsenic trioxide and 521 HCC-related targets were collected. After target mapping, a total of 52 common targets were obtained. GO analysis showed that the biological process was mainly involved in the negative regulation of cellular senescence, response to tumor necrosis factor, and cellular response to hypoxia. Molecular functions included NF-kappa B binding, enzyme binding, p53 binding, and transcription factor binding. Cellular components mainly were replication fork, ESC/E(Z) complex, RNA polymerase II transcription factor complex, and organelle membrane. KEGG pathways were mainly enriched in the PI3K-Akt signaling pathway, VEGF signaling pathway, p53 signaling pathway, HIF-1 signaling pathway, TNF signaling pathway, AMPK signaling pathway, NF-kappa B signaling pathway, FoxO signaling pathway, ErbB signaling pathway, and MAPK signaling pathway. In the arsenic trioxide-target-pathway-HCC network, targets such as AKT1, RAF1, RELA, TP53, and PTEN had a higher degree. Conclusions. Our study showed that key targets of arsenic trioxide were mainly involved in multiple biological processes and pathways. It provided a theoretical basis for the screening of drug targets.
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spelling pubmed-86484462021-12-07 Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology Wang, Xinmiao Cao, Luchang Wu, Jingyuan Zhu, Guanghui Zhu, Xiaoyu Zhang, Xiaoxiao Han, Duoduo Shui, Ning Ni, Baoyi Li, Jie Evid Based Complement Alternat Med Research Article OBJECTIVE: Arsenic trioxide (Pishuang, Pishi, arsenolite, As(2)O(3), and CAS 1327-53-3), a naturally occurring and toxic mineral as a drug for more than 2000 years in China, has been found to have a valuable function in hepatocellular carcinoma (HCC) in recent years. However, its exact mechanism remains to be elucidated. Therefore, this study was intended to explore the potential anti-HCC mechanism of arsenic trioxide through network pharmacology. METHODS: The potential targets of arsenic trioxide were collected from PubChem and TargetNet. HCC targets were obtained from the GeneCards database. Then, a protein-protein interaction (PPI) network of arsenic trioxide and HCC common targets was established using STRING. GO and KEGG pathway enrichment analyses were performed by the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Finally, an arsenic trioxide-target-pathway-HCC network was built by Cytoscape 3.2.1, and network topological analysis was carried out to screen the key candidate targets. RESULTS: A total of 346 corresponding targets of arsenic trioxide and 521 HCC-related targets were collected. After target mapping, a total of 52 common targets were obtained. GO analysis showed that the biological process was mainly involved in the negative regulation of cellular senescence, response to tumor necrosis factor, and cellular response to hypoxia. Molecular functions included NF-kappa B binding, enzyme binding, p53 binding, and transcription factor binding. Cellular components mainly were replication fork, ESC/E(Z) complex, RNA polymerase II transcription factor complex, and organelle membrane. KEGG pathways were mainly enriched in the PI3K-Akt signaling pathway, VEGF signaling pathway, p53 signaling pathway, HIF-1 signaling pathway, TNF signaling pathway, AMPK signaling pathway, NF-kappa B signaling pathway, FoxO signaling pathway, ErbB signaling pathway, and MAPK signaling pathway. In the arsenic trioxide-target-pathway-HCC network, targets such as AKT1, RAF1, RELA, TP53, and PTEN had a higher degree. Conclusions. Our study showed that key targets of arsenic trioxide were mainly involved in multiple biological processes and pathways. It provided a theoretical basis for the screening of drug targets. Hindawi 2021-11-29 /pmc/articles/PMC8648446/ /pubmed/34880920 http://dx.doi.org/10.1155/2021/5773802 Text en Copyright © 2021 Xinmiao Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Xinmiao
Cao, Luchang
Wu, Jingyuan
Zhu, Guanghui
Zhu, Xiaoyu
Zhang, Xiaoxiao
Han, Duoduo
Shui, Ning
Ni, Baoyi
Li, Jie
Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology
title Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology
title_full Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology
title_fullStr Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology
title_full_unstemmed Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology
title_short Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology
title_sort exploring the mechanisms of arsenic trioxide (pishuang) in hepatocellular carcinoma based on network pharmacology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648446/
https://www.ncbi.nlm.nih.gov/pubmed/34880920
http://dx.doi.org/10.1155/2021/5773802
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