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

doi:10.1097/MD.0000000000021702

	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
刊名	MEDICINE
	2020-08-07
卷号	99
关键词	cluster analysis critical pathways hepatocellular carcinoma
ISSN号	0025-7974
DOI	10.1097/MD.0000000000021702
通讯作者	Liu, Tongxin(ilutx1017@hotmail.com)
英文摘要	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.
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]
WOS关键词	TARGETING RIBONUCLEOTIDE REDUCTASE ; GENE-EXPRESSION ; CELL-CYCLE ; CANCER ; OVEREXPRESSION ; PROGRESSION ; CDK1
WOS研究方向	General & Internal Medicine
语种	英语
出版者	LIPPINCOTT WILLIAMS & WILKINS
WOS记录号	WOS:000561299900080
资助机构	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
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/102873]
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).