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Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma
PURPOSE: This study was conducted to investigate the differentially expressed profiles of long non-coding RNAs (lncRNAs) in HBV-associated HCC (HBV-HCC), which may serve as potential diagnostic biomarkers and therapeutic targets. METHODS: To examine the differentially expressed profiles of lncRNAs a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885655/ https://www.ncbi.nlm.nih.gov/pubmed/31819509 http://dx.doi.org/10.2147/OTT.S230377 |
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author | Li, Yuwei Chen, Xia Huang, Hengliu Li, Guangyao Liao, Ling Yuan, Tao Deng, Shaoli |
author_facet | Li, Yuwei Chen, Xia Huang, Hengliu Li, Guangyao Liao, Ling Yuan, Tao Deng, Shaoli |
author_sort | Li, Yuwei |
collection | PubMed |
description | PURPOSE: This study was conducted to investigate the differentially expressed profiles of long non-coding RNAs (lncRNAs) in HBV-associated HCC (HBV-HCC), which may serve as potential diagnostic biomarkers and therapeutic targets. METHODS: To examine the differentially expressed profiles of lncRNAs and mRNAs using microarray analysis, we collected 15 specimens: five HBV-associated HCC tissues, five paired adjacent peritumoral liver tissues (APLT), and five distant peritumoral liver tissues (DPLT). Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to predict the biological roles and potential signaling pathways of these dysregulated mRNAs. In addition, lncRNA-mRNA co-expression network and signal transduction pathway network (Signal-net) were employed to further explore the potential target genes and roles of dysregulated lncRNAs in HBV-HCC pathogenesis. Finally, quantitative real-time PCR (qRT-PCR) was used to confirm the expression of six selected dysregulated lncRNAs. RESULTS: A total number of 719 lncRNAs and 3438 mRNAs were significantly more dysregulated in HBV-HCC tissues than in APLT and DPLT (fold change > 2, P < 0.05, FDR < 0.05). Additionally, 337 GO terms and 53 KEGG pathways were established to be significantly enriched. These dysregulated mRNAs were mainly enriched in metabolism-related biological processes. Additionally, lncRNA-mRNA coexpression network analysis showed that NONHSAT053785 is at the core of the network. Furthermore, the Signal-net analysis showed that CYP3A4 was gene with the highest degree. Finally, the data of five of the six selected differentially expressed lncRNAs were in agreement with the microarray data obtained by qRT-PCR verification. CONCLUSION: Our study revealed the differentially expressed profiles of lncRNAs and mRNAs for HBV-HCC, and five novel dysregulated lncRNAs were identified in HBV-HCC tissues. The aforementioned dysregulated lncRNAs may represent potential diagnostic biomarkers and therapeutic targets of HBV-HCC, which needs to be validated in future studies. |
format | Online Article Text |
id | pubmed-6885655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-68856552019-12-09 Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma Li, Yuwei Chen, Xia Huang, Hengliu Li, Guangyao Liao, Ling Yuan, Tao Deng, Shaoli Onco Targets Ther Original Research PURPOSE: This study was conducted to investigate the differentially expressed profiles of long non-coding RNAs (lncRNAs) in HBV-associated HCC (HBV-HCC), which may serve as potential diagnostic biomarkers and therapeutic targets. METHODS: To examine the differentially expressed profiles of lncRNAs and mRNAs using microarray analysis, we collected 15 specimens: five HBV-associated HCC tissues, five paired adjacent peritumoral liver tissues (APLT), and five distant peritumoral liver tissues (DPLT). Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to predict the biological roles and potential signaling pathways of these dysregulated mRNAs. In addition, lncRNA-mRNA co-expression network and signal transduction pathway network (Signal-net) were employed to further explore the potential target genes and roles of dysregulated lncRNAs in HBV-HCC pathogenesis. Finally, quantitative real-time PCR (qRT-PCR) was used to confirm the expression of six selected dysregulated lncRNAs. RESULTS: A total number of 719 lncRNAs and 3438 mRNAs were significantly more dysregulated in HBV-HCC tissues than in APLT and DPLT (fold change > 2, P < 0.05, FDR < 0.05). Additionally, 337 GO terms and 53 KEGG pathways were established to be significantly enriched. These dysregulated mRNAs were mainly enriched in metabolism-related biological processes. Additionally, lncRNA-mRNA coexpression network analysis showed that NONHSAT053785 is at the core of the network. Furthermore, the Signal-net analysis showed that CYP3A4 was gene with the highest degree. Finally, the data of five of the six selected differentially expressed lncRNAs were in agreement with the microarray data obtained by qRT-PCR verification. CONCLUSION: Our study revealed the differentially expressed profiles of lncRNAs and mRNAs for HBV-HCC, and five novel dysregulated lncRNAs were identified in HBV-HCC tissues. The aforementioned dysregulated lncRNAs may represent potential diagnostic biomarkers and therapeutic targets of HBV-HCC, which needs to be validated in future studies. Dove 2019-11-27 /pmc/articles/PMC6885655/ /pubmed/31819509 http://dx.doi.org/10.2147/OTT.S230377 Text en © 2019 Li et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Li, Yuwei Chen, Xia Huang, Hengliu Li, Guangyao Liao, Ling Yuan, Tao Deng, Shaoli Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma |
title | Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma |
title_full | Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma |
title_fullStr | Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma |
title_full_unstemmed | Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma |
title_short | Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma |
title_sort | identification of novel lncrnas for detection of hbv-associated hepatocellular carcinoma |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885655/ https://www.ncbi.nlm.nih.gov/pubmed/31819509 http://dx.doi.org/10.2147/OTT.S230377 |
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