Screening of significant biomarkers with poor prognosis in hepatocellular carcinoma via bioinformatics analysis

doi:10.1097/MD.0000000000021702

HFCAS OpenIR

	Screening of significant biomarkers with poor prognosis in hepatocellular carcinoma via bioinformatics analysis
	Sun, Quanquan 1,2,3,4; Liu, Peng 1,2,3,4; Long, Bin 1,5; Zhu, Yuan 1,2,3,4; Liu, Tongxin 1,2,3,4
	2020-08-07
发表期刊	MEDICINE
ISSN	0025-7974
通讯作者	Liu, Tongxin(ilutx1017@hotmail.com)
摘要	Hepatocellular carcinoma (HCC) is a malignant tumor with unsatisfactory prognosis. The abnormal genes expression is significantly associated with initiation and poor prognosis of HCC. The aim of the present study was to identify molecular biomarkers related to the initiation and development of HCC via bioinformatics analysis, so as to provide a certain molecular mechanism for individualized treatment of hepatocellular carcinoma. Three datasets (GSE101685, GSE112790, and GSE121248) from the GEO database were used for the bioinformatics analysis. Differentially expressed genes (DEGs) of HCC and normal liver samples were obtained using GEO2R online tools. Gene ontology term and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis were conducted via the Database for Annotation, Visualization, and Integrated Discovery online bioinformatics tool. The protein-protein interaction (PPI) network was constructed by the Search Tool for the Retrieval of Interacting Genes database and hub genes were visualized by Cytoscape. Survival analysis and RNA sequencing expression were conducted by UALCAN and Gene Expression Profiling Interactive Analysis. A total of 115 shared DEGs were identified, including 30 upregulated genes and 85 downregulated genes in HCC samples. P53 signaling pathway and cell cycle were the major enriched pathways for the upregulated DEGs whereas metabolism-related pathways were the major enriched pathways for the downregulated DEGs. The PPI network was established with 105 nodes and 249 edges and 3 significant modules were identified via molecular complex detection. Additionally, 17 candidate genes from these 3 modules were significantly correlated with HCC patient survival and 15 of 17 genes exhibited high expression level in HCC samples. Moreover, 4 hub genes (CCNB1, CDK1, RRM2, BUB1B) were identified for further reanalysis of KEGG pathway, and enriched in 2 pathways, the P53 signaling pathway and cell cycle pathway. Overexpression of CCNB1, CDK1, RRM2, and BUB1B in HCC samples was correlated with poor survival in HCC patients, which could be potential therapeutic targets for HCC.
关键词	cluster analysis critical pathways hepatocellular carcinoma
DOI	10.1097/MD.0000000000021702
关键词[WOS]	TARGETING RIBONUCLEOTIDE REDUCTASE ; GENE-EXPRESSION ; CELL-CYCLE ; CANCER ; OVEREXPRESSION ; PROGRESSION ; CDK1
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[81502646] ; National Natural Science Foundation of China[81502647] ; Zhejiang Provincial Natural Science Foundation of China[LY17H180005] ; Zhejiang Medical and Health Science and Technology Project[2016KYB042] ; Zhejiang Medical and Health Science and Technology Project[2017KY030] ; Zhejiang Medical and Health Science and Technology Project[2018KY298] ; Zhejiang Science and Technology Program of traditional Chinese Medicine[2017ZA034]
项目资助者	National Natural Science Foundation of China ; Zhejiang Provincial Natural Science Foundation of China ; Zhejiang Medical and Health Science and Technology Project ; Zhejiang Science and Technology Program of traditional Chinese Medicine
WOS研究方向	General & Internal Medicine
WOS类目	Medicine, General & Internal
WOS记录号	WOS:000561299900080
出版者	LIPPINCOTT WILLIAMS & WILKINS
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/102874
专题	中国科学院合肥物质科学研究院
通讯作者	Liu, Tongxin
作者单位	1.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Dept Radiat Oncol, Canc Hosp, Beijing, Peoples R China 3.Zheiang Canc Hosp, Dept Radiat Oncol, 1 East Banshan Rd, Hangzhou 310022, Zhejiang, Peoples R China 4.Zhejiang Canc Hosp, Zhejiang Key Lab Radiat Oncol, Hangzhou, Zhejiang, Peoples R China 5.Zhejiang Canc Hosp, Dept Nucl Med, Key Lab Head & Neck Canc Translat Res Zhejiang, Hangzhou, Zhejiang, Peoples R China
推荐引用方式 GB/T 7714	Sun, Quanquan,Liu, Peng,Long, Bin,et al. Screening of significant biomarkers with poor prognosis in hepatocellular carcinoma via bioinformatics analysis[J]. MEDICINE,2020,99.
APA	Sun, Quanquan,Liu, Peng,Long, Bin,Zhu, Yuan,&Liu, Tongxin.(2020).Screening of significant biomarkers with poor prognosis in hepatocellular carcinoma via bioinformatics analysis.MEDICINE,99.
MLA	Sun, Quanquan,et al."Screening of significant biomarkers with poor prognosis in hepatocellular carcinoma via bioinformatics analysis".MEDICINE 99(2020).