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Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma
This study aims to comprehensively analyze the diagnosis and prognosis of lncRNAs in hepatocellular carcinoma (HCC). From the Gene Expression Omnibus database, we screened out and analyzed the differently expressed lncRNAs and related mRNAs using bioinformatics methods. The expressions of lncRNAs we...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707062/ https://www.ncbi.nlm.nih.gov/pubmed/29221168 http://dx.doi.org/10.18632/oncotarget.21329 |
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author | Dai, Meiyu Chen, Siyuan Wei, Xiaomou Zhu, Xuan Lan, Fang Dai, Shengming Qin, Xue |
author_facet | Dai, Meiyu Chen, Siyuan Wei, Xiaomou Zhu, Xuan Lan, Fang Dai, Shengming Qin, Xue |
author_sort | Dai, Meiyu |
collection | PubMed |
description | This study aims to comprehensively analyze the diagnosis and prognosis of lncRNAs in hepatocellular carcinoma (HCC). From the Gene Expression Omnibus database, we screened out and analyzed the differently expressed lncRNAs and related mRNAs using bioinformatics methods. The expressions of lncRNAs were validated in tumor tissues, cell lines and the Cancer Genome Atlas database. At the same time, we also conducted an exploratory analysis on the diagnostic and prognostic ability of lncRNAs in HCC. In this study, we found that most of the targeted mRNAs promote the biological process of cell division, cellular component of nucleoplasm, molecular function of protein binding, which were significantly associated with 12 KEGG pathways. LncRNA CRNDE and LINC01419 also had significant diagnostic value in HCC. In particular, the sensitivity, specificity and area under the curve of CRNDE were 71.0%, 87.1% and 0.701 (95% CI: 0.543-0.860), respectively. In addition, the high expression of CRNDE and GBAP1 predicated poor prognosis, while the high expression of LINC01093 suggested the opposite outcome. Through the comprehensive analysis of lncRNAs, it provided an important reference for the early diagnosis, prognosis evaluation, pathogenesis and targeted therapy of HCC. |
format | Online Article Text |
id | pubmed-5707062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57070622017-12-07 Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma Dai, Meiyu Chen, Siyuan Wei, Xiaomou Zhu, Xuan Lan, Fang Dai, Shengming Qin, Xue Oncotarget Research Paper This study aims to comprehensively analyze the diagnosis and prognosis of lncRNAs in hepatocellular carcinoma (HCC). From the Gene Expression Omnibus database, we screened out and analyzed the differently expressed lncRNAs and related mRNAs using bioinformatics methods. The expressions of lncRNAs were validated in tumor tissues, cell lines and the Cancer Genome Atlas database. At the same time, we also conducted an exploratory analysis on the diagnostic and prognostic ability of lncRNAs in HCC. In this study, we found that most of the targeted mRNAs promote the biological process of cell division, cellular component of nucleoplasm, molecular function of protein binding, which were significantly associated with 12 KEGG pathways. LncRNA CRNDE and LINC01419 also had significant diagnostic value in HCC. In particular, the sensitivity, specificity and area under the curve of CRNDE were 71.0%, 87.1% and 0.701 (95% CI: 0.543-0.860), respectively. In addition, the high expression of CRNDE and GBAP1 predicated poor prognosis, while the high expression of LINC01093 suggested the opposite outcome. Through the comprehensive analysis of lncRNAs, it provided an important reference for the early diagnosis, prognosis evaluation, pathogenesis and targeted therapy of HCC. Impact Journals LLC 2017-09-28 /pmc/articles/PMC5707062/ /pubmed/29221168 http://dx.doi.org/10.18632/oncotarget.21329 Text en Copyright: © 2017 Dai et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Dai, Meiyu Chen, Siyuan Wei, Xiaomou Zhu, Xuan Lan, Fang Dai, Shengming Qin, Xue Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma |
title | Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma |
title_full | Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma |
title_fullStr | Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma |
title_full_unstemmed | Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma |
title_short | Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma |
title_sort | diagnosis, prognosis and bioinformatics analysis of lncrnas in hepatocellular carcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707062/ https://www.ncbi.nlm.nih.gov/pubmed/29221168 http://dx.doi.org/10.18632/oncotarget.21329 |
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