Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Qiang, Yang, Fan, Xiang, Tengxiao, Huai, Guoli, Yang, Xingxing, Wei, Liang, Yang, Hongji, Deng, Shaoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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
_version_ 1783324889653968896
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
work_keys_str_mv AT fuqiang anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT yangfan anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT xiangtengxiao anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT huaiguoli anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT yangxingxing anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT weiliang anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT yanghongji anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT dengshaoping anovelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT fuqiang novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT yangfan novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT xiangtengxiao novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT huaiguoli novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT yangxingxing novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT weiliang novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT yanghongji novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy
AT dengshaoping novelmicrornasignaturepredictssurvivalinliverhepatocellularcarcinomaafterhepatectomy