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Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma

The carcinogenesis of hepatocellular carcinoma (HCC) is a complex process, starting from a chronically altered hepatic microenvironment due to liver cirrhosis and ultimately progressing to HCC. However, the sequential molecular alterations driving the malignant transformation in liver cirrhosis are...

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Autores principales: Shang, Yu-Kui, Li, Fanni, Zhang, Yi, Liu, Ze-Kun, Wang, Zi-Ling, Bian, Huijie, Chen, Zhi-Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999467/
https://www.ncbi.nlm.nih.gov/pubmed/29879025
http://dx.doi.org/10.1097/MD.0000000000010892
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author Shang, Yu-Kui
Li, Fanni
Zhang, Yi
Liu, Ze-Kun
Wang, Zi-Ling
Bian, Huijie
Chen, Zhi-Nan
author_facet Shang, Yu-Kui
Li, Fanni
Zhang, Yi
Liu, Ze-Kun
Wang, Zi-Ling
Bian, Huijie
Chen, Zhi-Nan
author_sort Shang, Yu-Kui
collection PubMed
description The carcinogenesis of hepatocellular carcinoma (HCC) is a complex process, starting from a chronically altered hepatic microenvironment due to liver cirrhosis and ultimately progressing to HCC. However, the sequential molecular alterations driving the malignant transformation in liver cirrhosis are not clearly defined. In this study, we obtained gene expression profiles of HCC, including 268 tumor tissues, 243 adjacent tumor tissues, and 40 cirrhotic tissues (GSE25097) from Gene Expression Omnibus (GEO), to comprehensively define changes in the transcriptome of HCC during the sequential evolution of liver cirrhosis into HCC. We showed that changes in the molecular profiles of cirrhotic and adjacent tumor samples were small and quite uniform, whereas there was a striking increase in the heterogeneity of tumors in HCC tissues at the mRNA level. A massive deregulation of key oncogenic molecules and pathways was observed from cirrhosis to HCC tumors. In addition, we focused on FOXO1 and DCN, 2 critical tumor suppressor genes that play an important role in liver cirrhosis and HCC development. FOXO1 and DCN expression levels were significantly reduced in tumor tissues compared with adjacent tumor tissues in HCC. Kaplan–Meier analysis revealed that FOXO1 and DCN expression was positively correlated with overall survival, defining FOXO1 and DCN as adverse prognostic biomarkers for HCC. This system-level research provided new insights into the molecular mechanisms of HCC carcinogenesis. FOXO1 and DCN may be applied as potential targets for HCC treatment in the future.
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spelling pubmed-59994672018-06-20 Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma Shang, Yu-Kui Li, Fanni Zhang, Yi Liu, Ze-Kun Wang, Zi-Ling Bian, Huijie Chen, Zhi-Nan Medicine (Baltimore) Research Article The carcinogenesis of hepatocellular carcinoma (HCC) is a complex process, starting from a chronically altered hepatic microenvironment due to liver cirrhosis and ultimately progressing to HCC. However, the sequential molecular alterations driving the malignant transformation in liver cirrhosis are not clearly defined. In this study, we obtained gene expression profiles of HCC, including 268 tumor tissues, 243 adjacent tumor tissues, and 40 cirrhotic tissues (GSE25097) from Gene Expression Omnibus (GEO), to comprehensively define changes in the transcriptome of HCC during the sequential evolution of liver cirrhosis into HCC. We showed that changes in the molecular profiles of cirrhotic and adjacent tumor samples were small and quite uniform, whereas there was a striking increase in the heterogeneity of tumors in HCC tissues at the mRNA level. A massive deregulation of key oncogenic molecules and pathways was observed from cirrhosis to HCC tumors. In addition, we focused on FOXO1 and DCN, 2 critical tumor suppressor genes that play an important role in liver cirrhosis and HCC development. FOXO1 and DCN expression levels were significantly reduced in tumor tissues compared with adjacent tumor tissues in HCC. Kaplan–Meier analysis revealed that FOXO1 and DCN expression was positively correlated with overall survival, defining FOXO1 and DCN as adverse prognostic biomarkers for HCC. This system-level research provided new insights into the molecular mechanisms of HCC carcinogenesis. FOXO1 and DCN may be applied as potential targets for HCC treatment in the future. Wolters Kluwer Health 2018-06-18 /pmc/articles/PMC5999467/ /pubmed/29879025 http://dx.doi.org/10.1097/MD.0000000000010892 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle Research Article
Shang, Yu-Kui
Li, Fanni
Zhang, Yi
Liu, Ze-Kun
Wang, Zi-Ling
Bian, Huijie
Chen, Zhi-Nan
Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
title Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
title_full Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
title_fullStr Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
title_full_unstemmed Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
title_short Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
title_sort systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999467/
https://www.ncbi.nlm.nih.gov/pubmed/29879025
http://dx.doi.org/10.1097/MD.0000000000010892
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