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A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy
Liver hepatocellular carcinoma (LIHC) is the most common type of primary liver cancer. In the current study, genome-wide miRNA-Seq and mRNA profiles in 318 LIHC patients derived from The Cancer Genome Atlas (TCGA) were analysed to identify miRNA-based signatures for LIHC prognosis with survival anal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962561/ https://www.ncbi.nlm.nih.gov/pubmed/29785036 http://dx.doi.org/10.1038/s41598-018-26374-9 |
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author | Fu, Qiang Yang, Fan Xiang, Tengxiao Huai, Guoli Yang, Xingxing Wei, Liang Yang, Hongji Deng, Shaoping |
author_facet | Fu, Qiang Yang, Fan Xiang, Tengxiao Huai, Guoli Yang, Xingxing Wei, Liang Yang, Hongji Deng, Shaoping |
author_sort | Fu, Qiang |
collection | PubMed |
description | Liver hepatocellular carcinoma (LIHC) is the most common type of primary liver cancer. In the current study, genome-wide miRNA-Seq and mRNA profiles in 318 LIHC patients derived from The Cancer Genome Atlas (TCGA) were analysed to identify miRNA-based signatures for LIHC prognosis with survival analysis and a semi-supervised principal components (SPC) method. A seven-miRNA signature was confirmed for overall survival (OS) prediction by comparing miRNA profiles in paired primary tumour and solid tumour normal tissues. Thereafter, a linear prognostic model that consisted of seven miRNAs was established and used to divide patients into high- and low-risk groups according to prognostic scores. Subsequent Kaplan-Meier analysis revealed that the seven-miRNA signature correlated with a good predictive clinical outcome for 5-year survival in LIHC patients. Additionally, this miRNA-based prognostic model could also be used for OS prognosis of LIHC patients in early stages, which could guide the future therapy of those patients and promote the OS rate. Moreover, the seven-miRNA signature was an independent prognostic factor. In conclusion, this signature may serve as a prognostic biomarker and guide LIHC therapy, and it could even be used as an LIHC therapeutic target in the future. |
format | Online Article Text |
id | pubmed-5962561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59625612018-05-24 A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy Fu, Qiang Yang, Fan Xiang, Tengxiao Huai, Guoli Yang, Xingxing Wei, Liang Yang, Hongji Deng, Shaoping Sci Rep Article Liver hepatocellular carcinoma (LIHC) is the most common type of primary liver cancer. In the current study, genome-wide miRNA-Seq and mRNA profiles in 318 LIHC patients derived from The Cancer Genome Atlas (TCGA) were analysed to identify miRNA-based signatures for LIHC prognosis with survival analysis and a semi-supervised principal components (SPC) method. A seven-miRNA signature was confirmed for overall survival (OS) prediction by comparing miRNA profiles in paired primary tumour and solid tumour normal tissues. Thereafter, a linear prognostic model that consisted of seven miRNAs was established and used to divide patients into high- and low-risk groups according to prognostic scores. Subsequent Kaplan-Meier analysis revealed that the seven-miRNA signature correlated with a good predictive clinical outcome for 5-year survival in LIHC patients. Additionally, this miRNA-based prognostic model could also be used for OS prognosis of LIHC patients in early stages, which could guide the future therapy of those patients and promote the OS rate. Moreover, the seven-miRNA signature was an independent prognostic factor. In conclusion, this signature may serve as a prognostic biomarker and guide LIHC therapy, and it could even be used as an LIHC therapeutic target in the future. Nature Publishing Group UK 2018-05-21 /pmc/articles/PMC5962561/ /pubmed/29785036 http://dx.doi.org/10.1038/s41598-018-26374-9 Text en © The Author(s) 2018 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 Fu, Qiang Yang, Fan Xiang, Tengxiao Huai, Guoli Yang, Xingxing Wei, Liang Yang, Hongji Deng, Shaoping A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy |
title | A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy |
title_full | A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy |
title_fullStr | A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy |
title_full_unstemmed | A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy |
title_short | A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy |
title_sort | novel microrna signature predicts survival in liver hepatocellular carcinoma after hepatectomy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962561/ https://www.ncbi.nlm.nih.gov/pubmed/29785036 http://dx.doi.org/10.1038/s41598-018-26374-9 |
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