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Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients
Long non-coding RNAs (lncRNAs) are often aberrantly expressed in Hepatocellular Carcinoma (HCC). We hypothesize that lncRNAs modulate HCC prognoses through differential deregulation of key lncRNAs affecting important gene network in key cancer pathways associated with pertinent clinical phenotype. H...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341759/ https://www.ncbi.nlm.nih.gov/pubmed/32636408 http://dx.doi.org/10.1038/s41598-020-67742-8 |
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author | Lim, Lee Jin Jin, Yu Yang, Henry Chung, Alexander Y. F. Goh, Brian K. P. Chow, Pierce K. H. Chan, Chung Yip Blanks, William K. Cheow, Peng Chung Lee, Ser Yee Lim, Tony K. H. Chong, Samuel S. Ooi, London L. P. J. Lee, Caroline G. |
author_facet | Lim, Lee Jin Jin, Yu Yang, Henry Chung, Alexander Y. F. Goh, Brian K. P. Chow, Pierce K. H. Chan, Chung Yip Blanks, William K. Cheow, Peng Chung Lee, Ser Yee Lim, Tony K. H. Chong, Samuel S. Ooi, London L. P. J. Lee, Caroline G. |
author_sort | Lim, Lee Jin |
collection | PubMed |
description | Long non-coding RNAs (lncRNAs) are often aberrantly expressed in Hepatocellular Carcinoma (HCC). We hypothesize that lncRNAs modulate HCC prognoses through differential deregulation of key lncRNAs affecting important gene network in key cancer pathways associated with pertinent clinical phenotype. Here, we present a novel approach integrating lncRNA-mRNA expression profiles with clinical characteristics to identify lncRNA signatures in clinically-relevant co-expression lncRNA-mRNA networks residing in pertinent cancer pathways. Notably one network, associated with poorer prognosis, comprises five up-regulated lncRNAs significantly correlated (|Pearson Correlation Coefficient|≥ 0.9) with 91 up-regulated genes in the cell-cycle and Rho-GTPase pathways. All 5 lncRNAs and 85/91 (93.4%) of the correlated genes were significantly associated with higher tumor-grade while 3/5 lncRNAs were also associated with no tumor capsule. Interestingly, 2/5 lncRNAs that are correlated with numerous genes in this oncogenic network were experimentally shown to up-regulate genes involved in cell-cycle and transcriptional regulation. Another network comprising 4 down-regulated lncRNAs and 8 down-regulated metallothionein-family genes are significantly associated with tumor invasion. The identification of these key lncRNAs signatures that deregulate important network of genes in key cancer pathways associated with pertinent clinical phenotype may facilitate the design of novel therapeutic strategies targeting these ‘master’ regulators for better patient outcome. |
format | Online Article Text |
id | pubmed-7341759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73417592020-07-09 Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients Lim, Lee Jin Jin, Yu Yang, Henry Chung, Alexander Y. F. Goh, Brian K. P. Chow, Pierce K. H. Chan, Chung Yip Blanks, William K. Cheow, Peng Chung Lee, Ser Yee Lim, Tony K. H. Chong, Samuel S. Ooi, London L. P. J. Lee, Caroline G. Sci Rep Article Long non-coding RNAs (lncRNAs) are often aberrantly expressed in Hepatocellular Carcinoma (HCC). We hypothesize that lncRNAs modulate HCC prognoses through differential deregulation of key lncRNAs affecting important gene network in key cancer pathways associated with pertinent clinical phenotype. Here, we present a novel approach integrating lncRNA-mRNA expression profiles with clinical characteristics to identify lncRNA signatures in clinically-relevant co-expression lncRNA-mRNA networks residing in pertinent cancer pathways. Notably one network, associated with poorer prognosis, comprises five up-regulated lncRNAs significantly correlated (|Pearson Correlation Coefficient|≥ 0.9) with 91 up-regulated genes in the cell-cycle and Rho-GTPase pathways. All 5 lncRNAs and 85/91 (93.4%) of the correlated genes were significantly associated with higher tumor-grade while 3/5 lncRNAs were also associated with no tumor capsule. Interestingly, 2/5 lncRNAs that are correlated with numerous genes in this oncogenic network were experimentally shown to up-regulate genes involved in cell-cycle and transcriptional regulation. Another network comprising 4 down-regulated lncRNAs and 8 down-regulated metallothionein-family genes are significantly associated with tumor invasion. The identification of these key lncRNAs signatures that deregulate important network of genes in key cancer pathways associated with pertinent clinical phenotype may facilitate the design of novel therapeutic strategies targeting these ‘master’ regulators for better patient outcome. Nature Publishing Group UK 2020-07-07 /pmc/articles/PMC7341759/ /pubmed/32636408 http://dx.doi.org/10.1038/s41598-020-67742-8 Text en © The Author(s) 2020 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 Lim, Lee Jin Jin, Yu Yang, Henry Chung, Alexander Y. F. Goh, Brian K. P. Chow, Pierce K. H. Chan, Chung Yip Blanks, William K. Cheow, Peng Chung Lee, Ser Yee Lim, Tony K. H. Chong, Samuel S. Ooi, London L. P. J. Lee, Caroline G. Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients |
title | Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients |
title_full | Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients |
title_fullStr | Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients |
title_full_unstemmed | Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients |
title_short | Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients |
title_sort | network of clinically-relevant lncrnas-mrnas associated with prognosis of hepatocellular carcinoma patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341759/ https://www.ncbi.nlm.nih.gov/pubmed/32636408 http://dx.doi.org/10.1038/s41598-020-67742-8 |
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