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Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the deadliest cancers and is mainly developed from chronic liver diseases such as hepatitis-B infection-associated liver cirrhosis (LC). The progression from LC to HCC makes the detection of diagnostic biomarkers to be challenging. Hence, there ha...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686114/ https://www.ncbi.nlm.nih.gov/pubmed/36419080 http://dx.doi.org/10.1186/s12935-022-02775-9 |
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author | He, Michelle Junyi Pu, Wenjun Wang, Xi Zhong, Xiaoni Zhao, Dong Zeng, Zhipeng Cai, Wanxia Liu, Jiayi Huang, Jianrong Tang, Donge Dai, Yong |
author_facet | He, Michelle Junyi Pu, Wenjun Wang, Xi Zhong, Xiaoni Zhao, Dong Zeng, Zhipeng Cai, Wanxia Liu, Jiayi Huang, Jianrong Tang, Donge Dai, Yong |
author_sort | He, Michelle Junyi |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) is one of the deadliest cancers and is mainly developed from chronic liver diseases such as hepatitis-B infection-associated liver cirrhosis (LC). The progression from LC to HCC makes the detection of diagnostic biomarkers to be challenging. Hence, there have been constant efforts to improve on identifying the critical and predictive changes accompanying the disease progression. METHODS: In this study, we looked to using the mass spectrometry mediated spatial metabolomics technique to simultaneous examine hundreds of metabolites in an untargeted fashion. Additionally, metabolic profiles were compared between six subregions within the HCC tissue to collect spatial information. RESULTS: Through those metabolites, altered metabolic pathways in LC and HCC were identified. Specifically, the amino acid metabolisms and the glycerophospholipid metabolisms experienced the most changes. Many of the altered metabolites and metabolic pathways were able to be connected through the urea cycle. CONCLUSIONS: The identification of the key metabolites and pathways can expand our knowledge on HCC metabolic reprogramming and help us exam potential biomarkers for earlier detection of the malignant disease progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02775-9. |
format | Online Article Text |
id | pubmed-9686114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96861142022-11-25 Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression He, Michelle Junyi Pu, Wenjun Wang, Xi Zhong, Xiaoni Zhao, Dong Zeng, Zhipeng Cai, Wanxia Liu, Jiayi Huang, Jianrong Tang, Donge Dai, Yong Cancer Cell Int Research BACKGROUND: Hepatocellular carcinoma (HCC) is one of the deadliest cancers and is mainly developed from chronic liver diseases such as hepatitis-B infection-associated liver cirrhosis (LC). The progression from LC to HCC makes the detection of diagnostic biomarkers to be challenging. Hence, there have been constant efforts to improve on identifying the critical and predictive changes accompanying the disease progression. METHODS: In this study, we looked to using the mass spectrometry mediated spatial metabolomics technique to simultaneous examine hundreds of metabolites in an untargeted fashion. Additionally, metabolic profiles were compared between six subregions within the HCC tissue to collect spatial information. RESULTS: Through those metabolites, altered metabolic pathways in LC and HCC were identified. Specifically, the amino acid metabolisms and the glycerophospholipid metabolisms experienced the most changes. Many of the altered metabolites and metabolic pathways were able to be connected through the urea cycle. CONCLUSIONS: The identification of the key metabolites and pathways can expand our knowledge on HCC metabolic reprogramming and help us exam potential biomarkers for earlier detection of the malignant disease progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02775-9. BioMed Central 2022-11-24 /pmc/articles/PMC9686114/ /pubmed/36419080 http://dx.doi.org/10.1186/s12935-022-02775-9 Text en © The Author(s) 2022 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 He, Michelle Junyi Pu, Wenjun Wang, Xi Zhong, Xiaoni Zhao, Dong Zeng, Zhipeng Cai, Wanxia Liu, Jiayi Huang, Jianrong Tang, Donge Dai, Yong Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression |
title | Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression |
title_full | Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression |
title_fullStr | Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression |
title_full_unstemmed | Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression |
title_short | Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression |
title_sort | spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686114/ https://www.ncbi.nlm.nih.gov/pubmed/36419080 http://dx.doi.org/10.1186/s12935-022-02775-9 |
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