Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases

Tumor recurrence and metastasis often occur in HCC patients after surgery, and the prognosis is not optimistic. Hence, searching effective biomarkers for prognosis of is of great importance. Firstly, HCC-related data was acquired from the TCGA and GEO databases. Based on GEO data, 256 differentially...

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Autores principales:	Shan Gao, Dongjie Zhu, Jian Zhu, Lianqiang Shen, Ming Zhu, Xuefeng Ren
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/e9e6213d9dc64731b820448c08774607
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spelling	oai:doaj.org-article:e9e6213d9dc64731b820448c087746072021-11-08T02:35:19ZScreening Hub Genes of Hepatocellular Carcinoma Based on Public Databases1748-671810.1155/2021/7029130https://doaj.org/article/e9e6213d9dc64731b820448c087746072021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7029130https://doaj.org/toc/1748-6718Tumor recurrence and metastasis often occur in HCC patients after surgery, and the prognosis is not optimistic. Hence, searching effective biomarkers for prognosis of is of great importance. Firstly, HCC-related data was acquired from the TCGA and GEO databases. Based on GEO data, 256 differentially expressed genes (DEGs) were obtained firstly. Subsequently, to clarify function of DEGs, clusterProfiler package was used to conduct functional enrichment analyses on DEGs. Protein-protein interaction (PPI) network analysis screened 20 key genes. The key genes were filtered via GEPIA database, by which 11 hub genes (F9, CYP3A4, ASPM, AURKA, CDC20, CDCA5, NCAP, PRC1, PTTG1, TOP2A, and KIFC1) were screened out. Then, univariate Cox analysis was applied to construct a prognostic model, followed by a prediction performance validation. With the risk score calculated by the model and common clinical features, univariate and multivariate analyses were carried out to assess whether the prognostic model could be used independently for prognostic prediction. In conclusion, the current study screened HCC prognostic gene signature based on public databases.Shan GaoDongjie ZhuJian ZhuLianqiang ShenMing ZhuXuefeng RenHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7ENComputational and Mathematical Methods in Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Shan Gao Dongjie Zhu Jian Zhu Lianqiang Shen Ming Zhu Xuefeng Ren Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
description	Tumor recurrence and metastasis often occur in HCC patients after surgery, and the prognosis is not optimistic. Hence, searching effective biomarkers for prognosis of is of great importance. Firstly, HCC-related data was acquired from the TCGA and GEO databases. Based on GEO data, 256 differentially expressed genes (DEGs) were obtained firstly. Subsequently, to clarify function of DEGs, clusterProfiler package was used to conduct functional enrichment analyses on DEGs. Protein-protein interaction (PPI) network analysis screened 20 key genes. The key genes were filtered via GEPIA database, by which 11 hub genes (F9, CYP3A4, ASPM, AURKA, CDC20, CDCA5, NCAP, PRC1, PTTG1, TOP2A, and KIFC1) were screened out. Then, univariate Cox analysis was applied to construct a prognostic model, followed by a prediction performance validation. With the risk score calculated by the model and common clinical features, univariate and multivariate analyses were carried out to assess whether the prognostic model could be used independently for prognostic prediction. In conclusion, the current study screened HCC prognostic gene signature based on public databases.
format	article
author	Shan Gao Dongjie Zhu Jian Zhu Lianqiang Shen Ming Zhu Xuefeng Ren
author_facet	Shan Gao Dongjie Zhu Jian Zhu Lianqiang Shen Ming Zhu Xuefeng Ren
author_sort	Shan Gao
title	Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
title_short	Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
title_full	Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
title_fullStr	Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
title_full_unstemmed	Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
title_sort	screening hub genes of hepatocellular carcinoma based on public databases
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e9e6213d9dc64731b820448c08774607
work_keys_str_mv	AT shangao screeninghubgenesofhepatocellularcarcinomabasedonpublicdatabases AT dongjiezhu screeninghubgenesofhepatocellularcarcinomabasedonpublicdatabases AT jianzhu screeninghubgenesofhepatocellularcarcinomabasedonpublicdatabases AT lianqiangshen screeninghubgenesofhepatocellularcarcinomabasedonpublicdatabases AT mingzhu screeninghubgenesofhepatocellularcarcinomabasedonpublicdatabases AT xuefengren screeninghubgenesofhepatocellularcarcinomabasedonpublicdatabases
_version_	1718443242021715968

Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases

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