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Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing
Hepatocellular carcinoma (HCC) is one of the most prevalent subtypes of liver cancer worldwide. LncRNAs have been demonstrated to be associated with the progression of HCC, but a systematic identification and characterization of their clinical roles and molecular mechanisms in HCC has not been condu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876391/ https://www.ncbi.nlm.nih.gov/pubmed/29599483 http://dx.doi.org/10.1038/s41598-018-23647-1 |
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author | Liao, Hao-Tian Huang, Ji-Wei Lan, Tian Wang, Jin-Ju Zhu, Bo Yuan, Ke-Fei Zeng, Yong |
author_facet | Liao, Hao-Tian Huang, Ji-Wei Lan, Tian Wang, Jin-Ju Zhu, Bo Yuan, Ke-Fei Zeng, Yong |
author_sort | Liao, Hao-Tian |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is one of the most prevalent subtypes of liver cancer worldwide. LncRNAs have been demonstrated to be associated with the progression of HCC, but a systematic identification and characterization of their clinical roles and molecular mechanisms in HCC has not been conducted. In this study, the aberrantly expressed lncRNAs in HCC tissues were analyzed based on TCGA RNA-seq data. 1162 lncRNAs were found to be aberrantly expressed in HCC tissues, including 232 down-regulated lncRNAs and 930 up-regulated lncRNAs. The top 5 lncRNAs with the highest diagnostic accuracy were further analyzed to evaluate their clinical value and potential mechanism in HCC. Kaplan-Meier curves showed that higher expressions of DDX11-AS1 and AC092171.4 were in correlation with poorer survival in HCC patients. Significant difference was also observed when comparing the expression levels of DDX11-AS1 and SFTA1P in different clinical parameters (p < 0.05). GO analysis showed that genes regulated by the 5 lncRNAs were enriched in certain pathways, such as PI3K pathway. Moreover, GSEA analysis on the expression of DDX11-AS1 showed that DDX11-AS1 affected the gene expressions involved in HCC proliferation, differentiation and cell cycle, indicating an essential role of DDX11-AS1 in hepatocarcinogenesis. |
format | Online Article Text |
id | pubmed-5876391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58763912018-04-02 Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing Liao, Hao-Tian Huang, Ji-Wei Lan, Tian Wang, Jin-Ju Zhu, Bo Yuan, Ke-Fei Zeng, Yong Sci Rep Article Hepatocellular carcinoma (HCC) is one of the most prevalent subtypes of liver cancer worldwide. LncRNAs have been demonstrated to be associated with the progression of HCC, but a systematic identification and characterization of their clinical roles and molecular mechanisms in HCC has not been conducted. In this study, the aberrantly expressed lncRNAs in HCC tissues were analyzed based on TCGA RNA-seq data. 1162 lncRNAs were found to be aberrantly expressed in HCC tissues, including 232 down-regulated lncRNAs and 930 up-regulated lncRNAs. The top 5 lncRNAs with the highest diagnostic accuracy were further analyzed to evaluate their clinical value and potential mechanism in HCC. Kaplan-Meier curves showed that higher expressions of DDX11-AS1 and AC092171.4 were in correlation with poorer survival in HCC patients. Significant difference was also observed when comparing the expression levels of DDX11-AS1 and SFTA1P in different clinical parameters (p < 0.05). GO analysis showed that genes regulated by the 5 lncRNAs were enriched in certain pathways, such as PI3K pathway. Moreover, GSEA analysis on the expression of DDX11-AS1 showed that DDX11-AS1 affected the gene expressions involved in HCC proliferation, differentiation and cell cycle, indicating an essential role of DDX11-AS1 in hepatocarcinogenesis. Nature Publishing Group UK 2018-03-29 /pmc/articles/PMC5876391/ /pubmed/29599483 http://dx.doi.org/10.1038/s41598-018-23647-1 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liao, Hao-Tian Huang, Ji-Wei Lan, Tian Wang, Jin-Ju Zhu, Bo Yuan, Ke-Fei Zeng, Yong Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing |
title | Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing |
title_full | Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing |
title_fullStr | Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing |
title_full_unstemmed | Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing |
title_short | Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing |
title_sort | identification of the aberrantly expressed lncrnas in hepatocellular carcinoma: a bioinformatics analysis based on rna-sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876391/ https://www.ncbi.nlm.nih.gov/pubmed/29599483 http://dx.doi.org/10.1038/s41598-018-23647-1 |
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