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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
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.
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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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