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Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most highly malignant and lethal cancers of the world. Its pathogenesis has been reported to be multi-factorial, and the molecular carcinogenesis of HCC can not be attributed to just a few individual genes. Based on the microRNA and mRNA expre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046763/ https://www.ncbi.nlm.nih.gov/pubmed/24564407 http://dx.doi.org/10.1186/1471-2164-15-S1-S13 |
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author | Wei, Lin Lian, Baofeng Zhang, Yuannv Li, Wei Gu, Jianren He, Xianghuo Xie, Lu |
author_facet | Wei, Lin Lian, Baofeng Zhang, Yuannv Li, Wei Gu, Jianren He, Xianghuo Xie, Lu |
author_sort | Wei, Lin |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most highly malignant and lethal cancers of the world. Its pathogenesis has been reported to be multi-factorial, and the molecular carcinogenesis of HCC can not be attributed to just a few individual genes. Based on the microRNA and mRNA expression profiling of normal liver tissues, pericancerous hepatocellular tissues and hepatocellular carcinoma tissues, we attempted to find prognosis related gene sets for HCC patients. RESULTS: We identified differentially expressed genes (DEG) from three comparisons: Cancer/Normal, Cancer/Pericancerous and Pericancerous/Normal. GSEA (gene set enrichment analysis) were performed. Based on the enriched gene sets of GO terms, pathways and transcription factor targets, it was found that the genome instability and cell proliferation increased while the metabolism and differentiation decreased in HCC tissues. The expression profile of DEGs in each enriched gene set was used to correlate to the postoperative survival time of HCC patients. Nine gene sets were found to prognostic correlation. Furthermore, after substituting DEG-targeting-microRNA for DEG members of each gene set, two gene sets with the microRNA expression profiles were obtained that had prognostic potential. CONCLUSIONS: The malignancy of HCC could be represented by gene sets, and pericancerous liver exhibits important characteristics of liver cancer. The expression level of gene sets not only in HCC but also in the pericancerous liver showed potential for prognosis implying an option for HCC prognosis at an early stage. Additionally, the gene-targeting-microRNA expression profiles also showed prognostic potential, demonstrating that the multi-factorial molecular pathogenesis of HCC is contributed by various genes and microRNAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-S1-S13) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4046763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40467632014-06-06 Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma Wei, Lin Lian, Baofeng Zhang, Yuannv Li, Wei Gu, Jianren He, Xianghuo Xie, Lu BMC Genomics Proceedings BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most highly malignant and lethal cancers of the world. Its pathogenesis has been reported to be multi-factorial, and the molecular carcinogenesis of HCC can not be attributed to just a few individual genes. Based on the microRNA and mRNA expression profiling of normal liver tissues, pericancerous hepatocellular tissues and hepatocellular carcinoma tissues, we attempted to find prognosis related gene sets for HCC patients. RESULTS: We identified differentially expressed genes (DEG) from three comparisons: Cancer/Normal, Cancer/Pericancerous and Pericancerous/Normal. GSEA (gene set enrichment analysis) were performed. Based on the enriched gene sets of GO terms, pathways and transcription factor targets, it was found that the genome instability and cell proliferation increased while the metabolism and differentiation decreased in HCC tissues. The expression profile of DEGs in each enriched gene set was used to correlate to the postoperative survival time of HCC patients. Nine gene sets were found to prognostic correlation. Furthermore, after substituting DEG-targeting-microRNA for DEG members of each gene set, two gene sets with the microRNA expression profiles were obtained that had prognostic potential. CONCLUSIONS: The malignancy of HCC could be represented by gene sets, and pericancerous liver exhibits important characteristics of liver cancer. The expression level of gene sets not only in HCC but also in the pericancerous liver showed potential for prognosis implying an option for HCC prognosis at an early stage. Additionally, the gene-targeting-microRNA expression profiles also showed prognostic potential, demonstrating that the multi-factorial molecular pathogenesis of HCC is contributed by various genes and microRNAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-S1-S13) contains supplementary material, which is available to authorized users. BioMed Central 2014-01-24 /pmc/articles/PMC4046763/ /pubmed/24564407 http://dx.doi.org/10.1186/1471-2164-15-S1-S13 Text en © Wei et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Proceedings Wei, Lin Lian, Baofeng Zhang, Yuannv Li, Wei Gu, Jianren He, Xianghuo Xie, Lu Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma |
title | Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma |
title_full | Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma |
title_fullStr | Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma |
title_full_unstemmed | Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma |
title_short | Application of microRNA and mRNA expression profiling on prognostic biomarker discovery for hepatocellular carcinoma |
title_sort | application of microrna and mrna expression profiling on prognostic biomarker discovery for hepatocellular carcinoma |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046763/ https://www.ncbi.nlm.nih.gov/pubmed/24564407 http://dx.doi.org/10.1186/1471-2164-15-S1-S13 |
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