Cargando…

Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. HCC has a poor prognosis associated with tumor recurrence and drug resistance, which has been attributed to the existence of hepatic cancer stem cells (HCSCs). However, the characteristics and regulatory mec...

Descripción completa

Detalles Bibliográficos
Autores principales: Ding, Min, Li, Jiang, Yu, Yong, Liu, Hui, Yan, Zi, Wang, Jinghan, Qian, Qijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531430/
https://www.ncbi.nlm.nih.gov/pubmed/26259570
http://dx.doi.org/10.1186/s12967-015-0609-7
_version_ 1782385034283450368
author Ding, Min
Li, Jiang
Yu, Yong
Liu, Hui
Yan, Zi
Wang, Jinghan
Qian, Qijun
author_facet Ding, Min
Li, Jiang
Yu, Yong
Liu, Hui
Yan, Zi
Wang, Jinghan
Qian, Qijun
author_sort Ding, Min
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. HCC has a poor prognosis associated with tumor recurrence and drug resistance, which has been attributed to the existence of hepatic cancer stem cells (HCSCs). However, the characteristics and regulatory mechanisms of HCSCs remain unclear. We therefore established a novel system to enrich HCSCs and we demonstrate that these HCSCs exhibit cancer stem cell properties. METHODS: We used miRNA and mRNA high-throughput sequencing data sets to determine molecular signatures and regulatory mechanisms in HCSCs. Paired miRNA and gene deep sequencing data in HCSCs versus HCC cells were used to identify candidate biomarkers of HCSCs. Using network analysis, we studied the relationship between miRNA and gene biomarkers, and KEGG pathway enrichment analysis was performed to study the function of candidate biomarkers. RESULTS: We identified 9 up- and 9 down-regulated miRNAs and 115 up- and 402 down-regulated genes in HCSCs compared with HCC cells. A miRNA-gene network was constructed using 651 miRNA–gene interactions (between 7 up-regulated miRNAs and 274 down-regulated genes), and 103 miRNA–gene interactions (between 9 down-regulated miRNAs and 62 up-regulated genes). Pathway enrichment analysis identified five tumor invasion- and metastasis-related pathways and MAPK signaling associated with HCSCs. We further discovered two novel pathways that likely play a role in the regulation of HCSCs. CONCLUSIONS: We identified a molecular expression signature and pathway regulatory mechanisms in HCSCs with potential diagnostic and therapeutic value. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0609-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4531430
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-45314302015-08-12 Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells Ding, Min Li, Jiang Yu, Yong Liu, Hui Yan, Zi Wang, Jinghan Qian, Qijun J Transl Med Research BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. HCC has a poor prognosis associated with tumor recurrence and drug resistance, which has been attributed to the existence of hepatic cancer stem cells (HCSCs). However, the characteristics and regulatory mechanisms of HCSCs remain unclear. We therefore established a novel system to enrich HCSCs and we demonstrate that these HCSCs exhibit cancer stem cell properties. METHODS: We used miRNA and mRNA high-throughput sequencing data sets to determine molecular signatures and regulatory mechanisms in HCSCs. Paired miRNA and gene deep sequencing data in HCSCs versus HCC cells were used to identify candidate biomarkers of HCSCs. Using network analysis, we studied the relationship between miRNA and gene biomarkers, and KEGG pathway enrichment analysis was performed to study the function of candidate biomarkers. RESULTS: We identified 9 up- and 9 down-regulated miRNAs and 115 up- and 402 down-regulated genes in HCSCs compared with HCC cells. A miRNA-gene network was constructed using 651 miRNA–gene interactions (between 7 up-regulated miRNAs and 274 down-regulated genes), and 103 miRNA–gene interactions (between 9 down-regulated miRNAs and 62 up-regulated genes). Pathway enrichment analysis identified five tumor invasion- and metastasis-related pathways and MAPK signaling associated with HCSCs. We further discovered two novel pathways that likely play a role in the regulation of HCSCs. CONCLUSIONS: We identified a molecular expression signature and pathway regulatory mechanisms in HCSCs with potential diagnostic and therapeutic value. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0609-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-11 /pmc/articles/PMC4531430/ /pubmed/26259570 http://dx.doi.org/10.1186/s12967-015-0609-7 Text en © Ding et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Research
Ding, Min
Li, Jiang
Yu, Yong
Liu, Hui
Yan, Zi
Wang, Jinghan
Qian, Qijun
Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells
title Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells
title_full Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells
title_fullStr Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells
title_full_unstemmed Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells
title_short Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells
title_sort integrated analysis of mirna, gene, and pathway regulatory networks in hepatic cancer stem cells
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531430/
https://www.ncbi.nlm.nih.gov/pubmed/26259570
http://dx.doi.org/10.1186/s12967-015-0609-7
work_keys_str_mv AT dingmin integratedanalysisofmirnageneandpathwayregulatorynetworksinhepaticcancerstemcells
AT lijiang integratedanalysisofmirnageneandpathwayregulatorynetworksinhepaticcancerstemcells
AT yuyong integratedanalysisofmirnageneandpathwayregulatorynetworksinhepaticcancerstemcells
AT liuhui integratedanalysisofmirnageneandpathwayregulatorynetworksinhepaticcancerstemcells
AT yanzi integratedanalysisofmirnageneandpathwayregulatorynetworksinhepaticcancerstemcells
AT wangjinghan integratedanalysisofmirnageneandpathwayregulatorynetworksinhepaticcancerstemcells
AT qianqijun integratedanalysisofmirnageneandpathwayregulatorynetworksinhepaticcancerstemcells