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Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis

As a malignant disease, lung cancer has a high morbidity and mortality rate. Baicalin is derived from Radix Scutellariae and has anti-tumor effects, however, its role in lung cancer remains unknown. Here, functional assays suggested baicalin suppressed in vitro lung cancer phenotypes. We used micro...

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Detalles Bibliográficos
Autores principales: Zhao, Fucheng, Zhao, Zhenxia, Han, Yanru, Li, Sujuan, Liu, Caili, Jia, Kui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806212/
https://www.ncbi.nlm.nih.gov/pubmed/33955315
http://dx.doi.org/10.1080/21655979.2021.1922052
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author Zhao, Fucheng
Zhao, Zhenxia
Han, Yanru
Li, Sujuan
Liu, Caili
Jia, Kui
author_facet Zhao, Fucheng
Zhao, Zhenxia
Han, Yanru
Li, Sujuan
Liu, Caili
Jia, Kui
author_sort Zhao, Fucheng
collection PubMed
description As a malignant disease, lung cancer has a high morbidity and mortality rate. Baicalin is derived from Radix Scutellariae and has anti-tumor effects, however, its role in lung cancer remains unknown. Here, functional assays suggested baicalin suppressed in vitro lung cancer phenotypes. We used micro (mi)RNA array analysis to explore baicalin effects on miRNA expression. We observed baicalin increased miR-340-5p expression, whereas inhibition of this expression abolished anti-tumor effects of baicalin. Furthermore, neuroepithelial cell transforming 1 (NET1) functioned as a miR-340-5p target, and acted in a baicalin-dependent manner to regulate lung cancer progression. Thus, baicalin elicited antitumor activities by affecting the miR-340-5p/NET1 axis, suggesting a new approach to lung cancer clinical management.
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spelling pubmed-88062122022-02-02 Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis Zhao, Fucheng Zhao, Zhenxia Han, Yanru Li, Sujuan Liu, Caili Jia, Kui Bioengineered Research Paper As a malignant disease, lung cancer has a high morbidity and mortality rate. Baicalin is derived from Radix Scutellariae and has anti-tumor effects, however, its role in lung cancer remains unknown. Here, functional assays suggested baicalin suppressed in vitro lung cancer phenotypes. We used micro (mi)RNA array analysis to explore baicalin effects on miRNA expression. We observed baicalin increased miR-340-5p expression, whereas inhibition of this expression abolished anti-tumor effects of baicalin. Furthermore, neuroepithelial cell transforming 1 (NET1) functioned as a miR-340-5p target, and acted in a baicalin-dependent manner to regulate lung cancer progression. Thus, baicalin elicited antitumor activities by affecting the miR-340-5p/NET1 axis, suggesting a new approach to lung cancer clinical management. Taylor & Francis 2021-05-06 /pmc/articles/PMC8806212/ /pubmed/33955315 http://dx.doi.org/10.1080/21655979.2021.1922052 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Zhao, Fucheng
Zhao, Zhenxia
Han, Yanru
Li, Sujuan
Liu, Caili
Jia, Kui
Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis
title Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis
title_full Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis
title_fullStr Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis
title_full_unstemmed Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis
title_short Baicalin suppresses lung cancer growth phenotypes via miR-340-5p/NET1 axis
title_sort baicalin suppresses lung cancer growth phenotypes via mir-340-5p/net1 axis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806212/
https://www.ncbi.nlm.nih.gov/pubmed/33955315
http://dx.doi.org/10.1080/21655979.2021.1922052
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