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Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma
BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver cancer in the world, with a high degree of malignancy and recurrence. The influence of the ceRNA network in tumor on the biological function of liver cancer is very important, It has been reported that many lncRNA play a key...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894432/ https://www.ncbi.nlm.nih.gov/pubmed/31824761 http://dx.doi.org/10.7717/peerj.8101 |
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author | Zou, Ren-chao Shi, Zhi-tian Xiao, Shu-feng Ke, Yang Tang, Hao-ran Wu, Tian-gen Guo, Zhi-tang Ni, Fan An, Sanqi Wang, Lin |
author_facet | Zou, Ren-chao Shi, Zhi-tian Xiao, Shu-feng Ke, Yang Tang, Hao-ran Wu, Tian-gen Guo, Zhi-tang Ni, Fan An, Sanqi Wang, Lin |
author_sort | Zou, Ren-chao |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver cancer in the world, with a high degree of malignancy and recurrence. The influence of the ceRNA network in tumor on the biological function of liver cancer is very important, It has been reported that many lncRNA play a key role in liver cancer development. In our study, integrated data analysis revealed potential eight novel lncRNA biomarkers in hepatocellular carcinoma. METHODS: Transcriptome data and clinical data were downloaded from the The Cancer Genome Atlas (TCGA) data portal. Weighted gene co-expression network analysis was performed to identify the expression pattern of genes in liver cancer. Then, the ceRNA network was constructed using transcriptome data. RESULTS: The integrated analysis of miRNA and RNAseq in the database show eight novel lncRNAs that may be involved in important biological pathways, including TNM and disease development in liver cancer. We performed function enrichment analysis of mRNAs affected by these lncRNAs. CONCLUSIONS: By identifying the ceRNA network and the lncRNAs that affect liver cancer, we showed that eight novel lncRNAs play an important role in the development and progress of liver cancer. |
format | Online Article Text |
id | pubmed-6894432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68944322019-12-10 Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma Zou, Ren-chao Shi, Zhi-tian Xiao, Shu-feng Ke, Yang Tang, Hao-ran Wu, Tian-gen Guo, Zhi-tang Ni, Fan An, Sanqi Wang, Lin PeerJ Bioinformatics BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver cancer in the world, with a high degree of malignancy and recurrence. The influence of the ceRNA network in tumor on the biological function of liver cancer is very important, It has been reported that many lncRNA play a key role in liver cancer development. In our study, integrated data analysis revealed potential eight novel lncRNA biomarkers in hepatocellular carcinoma. METHODS: Transcriptome data and clinical data were downloaded from the The Cancer Genome Atlas (TCGA) data portal. Weighted gene co-expression network analysis was performed to identify the expression pattern of genes in liver cancer. Then, the ceRNA network was constructed using transcriptome data. RESULTS: The integrated analysis of miRNA and RNAseq in the database show eight novel lncRNAs that may be involved in important biological pathways, including TNM and disease development in liver cancer. We performed function enrichment analysis of mRNAs affected by these lncRNAs. CONCLUSIONS: By identifying the ceRNA network and the lncRNAs that affect liver cancer, we showed that eight novel lncRNAs play an important role in the development and progress of liver cancer. PeerJ Inc. 2019-12-02 /pmc/articles/PMC6894432/ /pubmed/31824761 http://dx.doi.org/10.7717/peerj.8101 Text en ©2019 Zou et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Zou, Ren-chao Shi, Zhi-tian Xiao, Shu-feng Ke, Yang Tang, Hao-ran Wu, Tian-gen Guo, Zhi-tang Ni, Fan An, Sanqi Wang, Lin Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma |
title | Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma |
title_full | Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma |
title_fullStr | Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma |
title_full_unstemmed | Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma |
title_short | Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma |
title_sort | co-expression analysis and cerna network reveal eight novel potential lncrna biomarkers in hepatocellular carcinoma |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894432/ https://www.ncbi.nlm.nih.gov/pubmed/31824761 http://dx.doi.org/10.7717/peerj.8101 |
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