Literature DB >> 29843214

Screening and function analysis of hub genes and pathways in hepatocellular carcinoma via bioinformatics approaches.

Liang Zhang1,2, Yi Huang3, Junjun Ling2, Wenlei Zhuo2, Zhen Yu1, Mengmeng Shao1, Yunbo Luo1, Yi Zhu1.   

Abstract

BACKGROUND: Liver carcinoma is a major cause of cancer-related death worldwide. Up to date, the mechanisms of liver cancerigenesis and development have not been fully understood. Multi-genes and pathways were involved in the tumorigenesis of liver cancer.
OBJECTIVE: The aim of the present study was to screen key genes and pathways in liver cancerigenesis and development by using bioinformatics methods.
METHODS: A dataset GSE64041 were retrieved from GEO database and the differentially expressed genes (DEGs) were screened out. Then the DEG functions were annotated by gene ontology (GO) and pathway enrichment analysis, respectively. The hub genes were further selected by protein-protein interaction (PPI) analysis. Afterwards, the mRNA and protein expressions as well as the prognostic values of the hub genes were assessed.
RESULTS: As a result, 208 up-regulated and 82 down-regulated genes were screened out. These DEGs were mainly enriched in cell cycle and metabolism-related pathways. Through PPI analysis, TOP2A, PRDM10, CDK1, AURKA, BUB1, PLK1, CDKN3, NCAPG, BUB1B and CCNA2 were selected as hub genes, which were all over-expressed in liver cancers relative to those in normal tissues, respectively. Among them, PLK1 and CCNA2 were suggested to be prognostic factors for liver carcinoma.
CONCLUSION: In conclusion, the present study identified several hub genes, and cell cycle and metabolism-related pathways that may play critical roles in the tumorigenesis of liver cancer. Future validation laboratory experiments are required to confirm the results.

Entities:  

Keywords:  Liver carcinoma; bioinformatics; cell cycle; hub genes; prognosis

Mesh:

Year:  2018        PMID: 29843214     DOI: 10.3233/CBM-171160

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  14 in total

1.  Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma.

Authors:  Lu Zeng; Xiude Fan; Xiaoyun Wang; Huan Deng; Kun Zhang; Xiaoge Zhang; Shan He; Na Li; Qunying Han; Zhengwen Liu
Journal:  Curr Genomics       Date:  2019-08       Impact factor: 2.236

2.  Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis.

Authors:  Ziqi Meng; Jiarui Wu; Xinkui Liu; Wei Zhou; Mengwei Ni; Shuyu Liu; Siyu Guo; Shanshan Jia; Jingyuan Zhang
Journal:  J Int Med Res       Date:  2020-07       Impact factor: 1.671

3.  Identification of prognosis markers for endometrial cancer by integrated analysis of DNA methylation and RNA-Seq data.

Authors:  Xiao Huo; Hengzi Sun; Dongyan Cao; Jiaxin Yang; Peng Peng; Mei Yu; Keng Shen
Journal:  Sci Rep       Date:  2019-07-09       Impact factor: 4.379

4.  NCAPG Promotes The Proliferation Of Hepatocellular Carcinoma Through PI3K/AKT Signaling.

Authors:  Chengwu Gong; Jiyuan Ai; Yun Fan; Jun Gao; Weiwei Liu; Qian Feng; Wenjun Liao; Linquan Wu
Journal:  Onco Targets Ther       Date:  2019-10-16       Impact factor: 4.147

5.  Identification of genes predicting unfavorable prognosis in hepatitis B virus-associated hepatocellular carcinoma.

Authors:  Meng Sha; Jie Cao; Zhi-Peng Zong; Ning Xu; Jian-Jun Zhang; Ying Tong; Qiang Xia
Journal:  Ann Transl Med       Date:  2021-06

6.  Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV-associated hepatocellular carcinoma.

Authors:  Lijie Zhang; Joyman Makamure; Dan Zhao; Yiming Liu; Xiaopeng Guo; Chuansheng Zheng; Bin Liang
Journal:  Exp Ther Med       Date:  2020-05-06       Impact factor: 2.447

7.  Expression of FOXM1 and Aurora-A predicts prognosis and sorafenib efficacy in patients with hepatocellular carcinoma.

Authors:  Wen-Lung Su; Shih-Chang Chuang; Yu-Chu Wang; Lin-An Chen; Jian-Wei Huang; Wen-Tsan Chang; Shen-Nien Wang; King-Teh Lee; Chang-Shen Lin; Kung-Kai Kuo
Journal:  Cancer Biomark       Date:  2020       Impact factor: 4.388

8.  BUB1 promotes proliferation of liver cancer cells by activating SMAD2 phosphorylation.

Authors:  Li-Jing Zhu; Yan Pan; Xiao-Ying Chen; Pan-Fei Hou
Journal:  Oncol Lett       Date:  2020-03-05       Impact factor: 2.967

Review 9.  Multifaceted Role of PRDM Proteins in Human Cancer.

Authors:  Amelia Casamassimi; Monica Rienzo; Erika Di Zazzo; Anna Sorrentino; Donatella Fiore; Maria Chiara Proto; Bruno Moncharmont; Patrizia Gazzerro; Maurizio Bifulco; Ciro Abbondanza
Journal:  Int J Mol Sci       Date:  2020-04-10       Impact factor: 5.923

10.  Antitumor Effect of Lenvatinib Combined with Alisertib in Hepatocellular Carcinoma by Targeting the DNA Damage Pathway.

Authors:  Jianwen Hao; Qizhen Peng; Keruo Wang; Ge Yu; Yi Pan; Xiaoling Du; Na Hu; Xuening Zhang; Yu Qin; Huikai Li
Journal:  Biomed Res Int       Date:  2021-07-22       Impact factor: 3.411

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