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Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide, accounting for over 700,000 deaths each year. The lack of predictive and prognostic biomarkers for HCC, with effective therapy, remains a significant challenge for HCC management. Long non-coding RNAs (lncRNAs) play a key r...

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Autores principales: Ma, Weijie, Yao, Ye, Xu, Gang, Wu, Xiaoling, Li, Jinghua, Wang, Ganggang, Chen, Xi, Wang, Kunlei, Chen, Yirang, Guo, Yonghua, Li, Yongsheng, Tan, Deli, Guo, Hui, Liu, Zhisu, Yuan, Yufeng, Claret, Francois X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272716/
https://www.ncbi.nlm.nih.gov/pubmed/34247194
http://dx.doi.org/10.1038/s41420-021-00560-7
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author Ma, Weijie
Yao, Ye
Xu, Gang
Wu, Xiaoling
Li, Jinghua
Wang, Ganggang
Chen, Xi
Wang, Kunlei
Chen, Yirang
Guo, Yonghua
Li, Yongsheng
Tan, Deli
Guo, Hui
Liu, Zhisu
Yuan, Yufeng
Claret, Francois X.
author_facet Ma, Weijie
Yao, Ye
Xu, Gang
Wu, Xiaoling
Li, Jinghua
Wang, Ganggang
Chen, Xi
Wang, Kunlei
Chen, Yirang
Guo, Yonghua
Li, Yongsheng
Tan, Deli
Guo, Hui
Liu, Zhisu
Yuan, Yufeng
Claret, Francois X.
author_sort Ma, Weijie
collection PubMed
description Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide, accounting for over 700,000 deaths each year. The lack of predictive and prognostic biomarkers for HCC, with effective therapy, remains a significant challenge for HCC management. Long non-coding RNAs (lncRNAs) play a key role in tumorigenesis and have clinical value as potential biomarkers in the early diagnosis and prediction of HCC. Jun activation domain-binding protein 1 (Jab1, also known as COP9 signalosome subunit 5, CSN5) is a potential oncogene that plays a critical role in the occurrence of HCC. Here, we performed a comprehensive analysis for Jab1/CSN5-associated lncRNAs to predict the prognosis of HCC. The differentially expressed (DE) lncRNAs between in HCC were analyzed based on the TCGA RNA-seq data. We detected 1031 upregulated lncRNAs in 371 HCC tissues and identified a seven-lncRNA signature strongly correlated with Jab1/CSN5 (SNHG6, CTD3065J16.9, LINC01604, CTD3025N20.3, KB-1460A1.5, RP13-582O9.7, and RP11-29520.2). We further evaluated the prognostic significance of these lncRNAs by GEPIA (http://gepia.cancer-pku.cn/). The expression data in 364 liver tumors indicated that this seven-lncRNA signature could better predict worse survival in HCC patients. Moreover, 35 clinical HCC samples were evaluated to assess the validity and reproducibility of the bioinformatic analysis. We found that the targeted lncRNAs were upregulated, with a strong association with Jab1/CSN5 and prognostic value in HCC. Functional enrichment analysis by Gene Ontology (GO) showed that these seven prognostic lncRNAs exhibit oncogenic properties and are associated with prominent hallmarks of cancer. Overall, our findings demonstrate the clinical implication of Jab1/CSN5 with the seven‐lncRNAs in predicting survival for patients with HCC.
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spelling pubmed-82727162021-07-23 Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma Ma, Weijie Yao, Ye Xu, Gang Wu, Xiaoling Li, Jinghua Wang, Ganggang Chen, Xi Wang, Kunlei Chen, Yirang Guo, Yonghua Li, Yongsheng Tan, Deli Guo, Hui Liu, Zhisu Yuan, Yufeng Claret, Francois X. Cell Death Discov Article Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide, accounting for over 700,000 deaths each year. The lack of predictive and prognostic biomarkers for HCC, with effective therapy, remains a significant challenge for HCC management. Long non-coding RNAs (lncRNAs) play a key role in tumorigenesis and have clinical value as potential biomarkers in the early diagnosis and prediction of HCC. Jun activation domain-binding protein 1 (Jab1, also known as COP9 signalosome subunit 5, CSN5) is a potential oncogene that plays a critical role in the occurrence of HCC. Here, we performed a comprehensive analysis for Jab1/CSN5-associated lncRNAs to predict the prognosis of HCC. The differentially expressed (DE) lncRNAs between in HCC were analyzed based on the TCGA RNA-seq data. We detected 1031 upregulated lncRNAs in 371 HCC tissues and identified a seven-lncRNA signature strongly correlated with Jab1/CSN5 (SNHG6, CTD3065J16.9, LINC01604, CTD3025N20.3, KB-1460A1.5, RP13-582O9.7, and RP11-29520.2). We further evaluated the prognostic significance of these lncRNAs by GEPIA (http://gepia.cancer-pku.cn/). The expression data in 364 liver tumors indicated that this seven-lncRNA signature could better predict worse survival in HCC patients. Moreover, 35 clinical HCC samples were evaluated to assess the validity and reproducibility of the bioinformatic analysis. We found that the targeted lncRNAs were upregulated, with a strong association with Jab1/CSN5 and prognostic value in HCC. Functional enrichment analysis by Gene Ontology (GO) showed that these seven prognostic lncRNAs exhibit oncogenic properties and are associated with prominent hallmarks of cancer. Overall, our findings demonstrate the clinical implication of Jab1/CSN5 with the seven‐lncRNAs in predicting survival for patients with HCC. Nature Publishing Group UK 2021-07-10 /pmc/articles/PMC8272716/ /pubmed/34247194 http://dx.doi.org/10.1038/s41420-021-00560-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ma, Weijie
Yao, Ye
Xu, Gang
Wu, Xiaoling
Li, Jinghua
Wang, Ganggang
Chen, Xi
Wang, Kunlei
Chen, Yirang
Guo, Yonghua
Li, Yongsheng
Tan, Deli
Guo, Hui
Liu, Zhisu
Yuan, Yufeng
Claret, Francois X.
Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma
title Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma
title_full Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma
title_fullStr Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma
title_full_unstemmed Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma
title_short Identification of a seven-long non-coding RNA signature associated with Jab1/CSN5 in predicting hepatocellular carcinoma
title_sort identification of a seven-long non-coding rna signature associated with jab1/csn5 in predicting hepatocellular carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272716/
https://www.ncbi.nlm.nih.gov/pubmed/34247194
http://dx.doi.org/10.1038/s41420-021-00560-7
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