Cargando…

Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology

BACKGROUND: Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death. Traditional Chinese medicine (TCM) has special advantages in relieving HCC, while Astragalus membranaceus is commonly used in TCM treatment. However, its underlying mechanisms for treatment of HCC are unc...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Zhili, Ma, Huihan, Lai, Zelin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522094/
https://www.ncbi.nlm.nih.gov/pubmed/34663301
http://dx.doi.org/10.1186/s12906-021-03425-9
_version_ 1784585025515159552
author Liu, Zhili
Ma, Huihan
Lai, Zelin
author_facet Liu, Zhili
Ma, Huihan
Lai, Zelin
author_sort Liu, Zhili
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death. Traditional Chinese medicine (TCM) has special advantages in relieving HCC, while Astragalus membranaceus is commonly used in TCM treatment. However, its underlying mechanisms for treatment of HCC are unclear. METHODS: Differentially expressed genes (DEGs) of Astragalus membranaceus treatment in HepG2 cells were identified, and Astragalus membranaceus-gene network was constructed. The hub genes were then obtained via protein-protein interaction (PPI) analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA) were subsequently performed. Furthermore, prognosis genes related to HCC from The Cancer Genome Atlas Program (TCGA) was identified to explore the correlation between Astragalus membranaceus treatment and prognosis of HCC. Finally, Astragalus membranaceus-component-target network was established through SymMap. RESULTS: Twenty five DEGs (15 up-regulated and 10 down-regulated) of Astragalus membranaceus treatment in HepG2 cells were identified. Among the 25 genes, MT1F, MT1G, MT1X and HMOX1 may play essential roles. Astragalus membranaceus mainly affects the Mineral absorption pathway in HCC. A total of 256 genes (p < 0.01) related to prognosis of HCC were identified, and MT1G is a common gene between prognosis genes and DEGs. Furthermore, Astragalus membranaceus may directly down-regulate MT1G through daidzein to promote ferroptosis of HCC cells and improve prognosis for HCC. CONCLUSION: Our study provided new understandings of the pharmacological mechanisms by which Astragalus membranaceus improves the prognosis of HCC, and showed that the combination of transcriptomics and network pharmacology is helpful to explore mechanisms of TCM and traditional medicines from other nations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12906-021-03425-9.
format Online
Article
Text
id pubmed-8522094
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-85220942021-10-21 Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology Liu, Zhili Ma, Huihan Lai, Zelin BMC Complement Med Ther Research Article BACKGROUND: Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death. Traditional Chinese medicine (TCM) has special advantages in relieving HCC, while Astragalus membranaceus is commonly used in TCM treatment. However, its underlying mechanisms for treatment of HCC are unclear. METHODS: Differentially expressed genes (DEGs) of Astragalus membranaceus treatment in HepG2 cells were identified, and Astragalus membranaceus-gene network was constructed. The hub genes were then obtained via protein-protein interaction (PPI) analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA) were subsequently performed. Furthermore, prognosis genes related to HCC from The Cancer Genome Atlas Program (TCGA) was identified to explore the correlation between Astragalus membranaceus treatment and prognosis of HCC. Finally, Astragalus membranaceus-component-target network was established through SymMap. RESULTS: Twenty five DEGs (15 up-regulated and 10 down-regulated) of Astragalus membranaceus treatment in HepG2 cells were identified. Among the 25 genes, MT1F, MT1G, MT1X and HMOX1 may play essential roles. Astragalus membranaceus mainly affects the Mineral absorption pathway in HCC. A total of 256 genes (p < 0.01) related to prognosis of HCC were identified, and MT1G is a common gene between prognosis genes and DEGs. Furthermore, Astragalus membranaceus may directly down-regulate MT1G through daidzein to promote ferroptosis of HCC cells and improve prognosis for HCC. CONCLUSION: Our study provided new understandings of the pharmacological mechanisms by which Astragalus membranaceus improves the prognosis of HCC, and showed that the combination of transcriptomics and network pharmacology is helpful to explore mechanisms of TCM and traditional medicines from other nations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12906-021-03425-9. BioMed Central 2021-10-18 /pmc/articles/PMC8522094/ /pubmed/34663301 http://dx.doi.org/10.1186/s12906-021-03425-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Zhili
Ma, Huihan
Lai, Zelin
Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology
title Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology
title_full Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology
title_fullStr Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology
title_full_unstemmed Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology
title_short Revealing the potential mechanism of Astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology
title_sort revealing the potential mechanism of astragalus membranaceus improving prognosis of hepatocellular carcinoma by combining transcriptomics and network pharmacology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522094/
https://www.ncbi.nlm.nih.gov/pubmed/34663301
http://dx.doi.org/10.1186/s12906-021-03425-9
work_keys_str_mv AT liuzhili revealingthepotentialmechanismofastragalusmembranaceusimprovingprognosisofhepatocellularcarcinomabycombiningtranscriptomicsandnetworkpharmacology
AT mahuihan revealingthepotentialmechanismofastragalusmembranaceusimprovingprognosisofhepatocellularcarcinomabycombiningtranscriptomicsandnetworkpharmacology
AT laizelin revealingthepotentialmechanismofastragalusmembranaceusimprovingprognosisofhepatocellularcarcinomabycombiningtranscriptomicsandnetworkpharmacology