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Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma

BACKGROUND AND AIMS: The survival rate of patients with hepatocellular carcinoma is variable. The abnormal expression of RNA-binding proteins (RBPs) is closely related to the occurrence and development of malignant tumors. The primary aim of this study was to identify RBPs related to the prognosis o...

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Autores principales: Zhang, Hao, Xia, Peng, Ma, Weijie, Yuan, Yufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: XIA & HE Publishing Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516832/
https://www.ncbi.nlm.nih.gov/pubmed/34722178
http://dx.doi.org/10.14218/JCTH.2020.00103
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author Zhang, Hao
Xia, Peng
Ma, Weijie
Yuan, Yufeng
author_facet Zhang, Hao
Xia, Peng
Ma, Weijie
Yuan, Yufeng
author_sort Zhang, Hao
collection PubMed
description BACKGROUND AND AIMS: The survival rate of patients with hepatocellular carcinoma is variable. The abnormal expression of RNA-binding proteins (RBPs) is closely related to the occurrence and development of malignant tumors. The primary aim of this study was to identify RBPs related to the prognosis of liver cancer and to construct a prognostic model of liver cancer. METHODS: We downloaded the hepatocellular carcinoma gene sequencing data from The Cancer Genome Atlas (cancergenome.nih.gov/) database, constructed a protein-protein interaction network, and used Cytoscape to realize the visualization. From among 325 abnormally expressed genes for RBPs, 9 (XPO5, enhancer of zeste 2 polycomb repressive complex 2 subunit [EZH2], CSTF2, BRCA1, RRP12, MRPL54, EIF2AK4, PPARGC1A, and SEPSECS) were selected for construction of the prognostic model. Then, we further verified the results through the Gene Expression Omnibus (www.ncbi.nlm.nih.gov/geo/) database and in vitro experiments. RESULTS: A prognostic model was constructed, which determined that the survival time of patients in the high-risk group was significantly shorter than that of the low-risk group (p<0.01). Univariate and multivariate Cox regression analysis suggested that the risk score was an independent prognostic factor (p<0.01). We also constructed a nomogram based on the risk score, survival time, and survival status. At the same time, we verified the high expression and cancer-promoting effects of EZH2 in tumors. CONCLUSIONS: Survival, receiver operating characteristic curve and independent prognostic analyses demonstrated that we constructed a good prognostic model, which might be useful for estimating the survival of patients with hepatocellular carcinoma.
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spelling pubmed-85168322021-10-28 Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma Zhang, Hao Xia, Peng Ma, Weijie Yuan, Yufeng J Clin Transl Hepatol Original Article BACKGROUND AND AIMS: The survival rate of patients with hepatocellular carcinoma is variable. The abnormal expression of RNA-binding proteins (RBPs) is closely related to the occurrence and development of malignant tumors. The primary aim of this study was to identify RBPs related to the prognosis of liver cancer and to construct a prognostic model of liver cancer. METHODS: We downloaded the hepatocellular carcinoma gene sequencing data from The Cancer Genome Atlas (cancergenome.nih.gov/) database, constructed a protein-protein interaction network, and used Cytoscape to realize the visualization. From among 325 abnormally expressed genes for RBPs, 9 (XPO5, enhancer of zeste 2 polycomb repressive complex 2 subunit [EZH2], CSTF2, BRCA1, RRP12, MRPL54, EIF2AK4, PPARGC1A, and SEPSECS) were selected for construction of the prognostic model. Then, we further verified the results through the Gene Expression Omnibus (www.ncbi.nlm.nih.gov/geo/) database and in vitro experiments. RESULTS: A prognostic model was constructed, which determined that the survival time of patients in the high-risk group was significantly shorter than that of the low-risk group (p<0.01). Univariate and multivariate Cox regression analysis suggested that the risk score was an independent prognostic factor (p<0.01). We also constructed a nomogram based on the risk score, survival time, and survival status. At the same time, we verified the high expression and cancer-promoting effects of EZH2 in tumors. CONCLUSIONS: Survival, receiver operating characteristic curve and independent prognostic analyses demonstrated that we constructed a good prognostic model, which might be useful for estimating the survival of patients with hepatocellular carcinoma. XIA & HE Publishing Inc. 2021-10-28 2021-04-13 /pmc/articles/PMC8516832/ /pubmed/34722178 http://dx.doi.org/10.14218/JCTH.2020.00103 Text en © 2021 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Zhang, Hao
Xia, Peng
Ma, Weijie
Yuan, Yufeng
Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma
title Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma
title_full Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma
title_fullStr Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma
title_full_unstemmed Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma
title_short Development and Validation of an RNA Binding Protein-associated Prognostic Model for Hepatocellular Carcinoma
title_sort development and validation of an rna binding protein-associated prognostic model for hepatocellular carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516832/
https://www.ncbi.nlm.nih.gov/pubmed/34722178
http://dx.doi.org/10.14218/JCTH.2020.00103
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