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Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment

INTRODUCTION: Thyroid cancer is a familiar kind of cancer. Natural products are promising therapeutic approaches in treating thyroid cancer. Triptolide is a diterpenoid epoxide extracted from Tripterygium wilfordii. The mechanism of triptolide in the treatment of thyroid cancer has not been investig...

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Autores principales: Wang, Fang, An, Shu-Jing, Yin, Yirong, Li, Juan-Juan, Sun, Chun-Hui, Lan, Jie, Zhao, Wen-Juan, Li, Cheng-Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523527/
https://www.ncbi.nlm.nih.gov/pubmed/34703209
http://dx.doi.org/10.2147/DDDT.S322502
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author Wang, Fang
An, Shu-Jing
Yin, Yirong
Li, Juan-Juan
Sun, Chun-Hui
Lan, Jie
Zhao, Wen-Juan
Li, Cheng-Qian
author_facet Wang, Fang
An, Shu-Jing
Yin, Yirong
Li, Juan-Juan
Sun, Chun-Hui
Lan, Jie
Zhao, Wen-Juan
Li, Cheng-Qian
author_sort Wang, Fang
collection PubMed
description INTRODUCTION: Thyroid cancer is a familiar kind of cancer. Natural products are promising therapeutic approaches in treating thyroid cancer. Triptolide is a diterpenoid epoxide extracted from Tripterygium wilfordii. The mechanism of triptolide in the treatment of thyroid cancer has not been investigated clearly. METHODS: We evaluated triptolide targets and thyroid cancer targets with related databases. The protein–protein interaction (PPI) networks of the triptolide targets and thyroid cancer targets were constructed with Cytoscape software. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of the core PPI network were obtained. Molecular docking analysis was used to evaluated the binding of triptolide with core targets. Furthermore, apoptosis assays, real-time polymerase chain reaction (RT-PCR) and Western blotting were used to evaluate the anticancer functions of triptolide. RESULTS: Triptolide had 34 targets, and thyroid cancer had 210 targets. The core PPI network of merged PPI networks had 164 nodes and 4513 edges. GO and KEGG enrichment analyses showed that triptolide were related to the cell cycle, apoptosis, and inflammatory signaling pathways. Molecular docking analysis showed that triptolide directly reacted with four core targets: cyclin-dependent kinase inhibitor 1A (CDKN1A), c-JUN, RELA, and tumor protein p53 (TP53). CB-Dock analysis indicated that triptolide could stably bind to core targets. Triptolide inhibited the growth but induced apoptosis of thyroid cancer cells. Triptolide increased the mRNA expression of CDKN1A and TP53 but reduced the mRNA expression of c-JUN and RELA, as shown by RT-PCR. Triptolide increased the protein levels of CDKN1A and phospho-p53 but reduced those of phospho-c-JUN and phospho-NF-κB p65, as shown by Western blotting. DISCUSSION: We considered that triptolide could treat thyroid cancer by inhibiting cell proliferation, inducing apoptosis and inhibiting inflammatory pathways such as the NF-κB and MAPK signaling pathways. CDKN1A, c-JUN, RELA, and TP53 were involved in the antithyroid cancer mechanism of triptolide.
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spelling pubmed-85235272021-10-25 Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment Wang, Fang An, Shu-Jing Yin, Yirong Li, Juan-Juan Sun, Chun-Hui Lan, Jie Zhao, Wen-Juan Li, Cheng-Qian Drug Des Devel Ther Original Research INTRODUCTION: Thyroid cancer is a familiar kind of cancer. Natural products are promising therapeutic approaches in treating thyroid cancer. Triptolide is a diterpenoid epoxide extracted from Tripterygium wilfordii. The mechanism of triptolide in the treatment of thyroid cancer has not been investigated clearly. METHODS: We evaluated triptolide targets and thyroid cancer targets with related databases. The protein–protein interaction (PPI) networks of the triptolide targets and thyroid cancer targets were constructed with Cytoscape software. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of the core PPI network were obtained. Molecular docking analysis was used to evaluated the binding of triptolide with core targets. Furthermore, apoptosis assays, real-time polymerase chain reaction (RT-PCR) and Western blotting were used to evaluate the anticancer functions of triptolide. RESULTS: Triptolide had 34 targets, and thyroid cancer had 210 targets. The core PPI network of merged PPI networks had 164 nodes and 4513 edges. GO and KEGG enrichment analyses showed that triptolide were related to the cell cycle, apoptosis, and inflammatory signaling pathways. Molecular docking analysis showed that triptolide directly reacted with four core targets: cyclin-dependent kinase inhibitor 1A (CDKN1A), c-JUN, RELA, and tumor protein p53 (TP53). CB-Dock analysis indicated that triptolide could stably bind to core targets. Triptolide inhibited the growth but induced apoptosis of thyroid cancer cells. Triptolide increased the mRNA expression of CDKN1A and TP53 but reduced the mRNA expression of c-JUN and RELA, as shown by RT-PCR. Triptolide increased the protein levels of CDKN1A and phospho-p53 but reduced those of phospho-c-JUN and phospho-NF-κB p65, as shown by Western blotting. DISCUSSION: We considered that triptolide could treat thyroid cancer by inhibiting cell proliferation, inducing apoptosis and inhibiting inflammatory pathways such as the NF-κB and MAPK signaling pathways. CDKN1A, c-JUN, RELA, and TP53 were involved in the antithyroid cancer mechanism of triptolide. Dove 2021-10-11 /pmc/articles/PMC8523527/ /pubmed/34703209 http://dx.doi.org/10.2147/DDDT.S322502 Text en © 2021 Wang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Wang, Fang
An, Shu-Jing
Yin, Yirong
Li, Juan-Juan
Sun, Chun-Hui
Lan, Jie
Zhao, Wen-Juan
Li, Cheng-Qian
Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment
title Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment
title_full Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment
title_fullStr Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment
title_full_unstemmed Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment
title_short Triptolide is a Promising Therapeutic Approach in Treating Thyroid Cancer Based on in silico and in vitro Experiment
title_sort triptolide is a promising therapeutic approach in treating thyroid cancer based on in silico and in vitro experiment
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523527/
https://www.ncbi.nlm.nih.gov/pubmed/34703209
http://dx.doi.org/10.2147/DDDT.S322502
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