Identification of potential target genes associated with the effect of propranolol on angiosarcoma via microarray analysis

被引:4
|
作者
Zhou, Shiyong [1 ]
Liu, Pengfei [1 ]
Jiang, Wenhua [2 ]
Zhang, Huilai [1 ]
机构
[1] Tianjin Med Univ Canc Inst & Hosp, Dept Lymphoma, Sino US Ctr Lymphoma & Leukemia,Tianjins Clin Res, Natl Clin Res Ctr Canc,Key Lab Canc Prevent & The, 24 Huan Hu Xi Rd, Tianjin 300060, Peoples R China
[2] Tianjin Med Univ, Hosp 2, Dept Radiotherapy, Tianjin 300211, Peoples R China
关键词
propranolol; angiosarcoma; bioinformatics; ACUTE MYELOID-LEUKEMIA; TYROSINE KINASE AXL; INTERACTION NETWORKS; ENDOTHELIAL-CELLS; EXPRESSION; RECEPTOR; OVEREXPRESSION; HEMANGIOMAS; HOMEOSTASIS; RESISTANCE;
D O I
10.3892/ol.2017.5968
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The purpose of the present study was to explore the effect of propranolol on angiosarcoma, and the potential target genes involved in the processes of proliferation and differentiation of angiosarcoma tumor cells. The mRNA expression profile (GSE42534) was downloaded from the Gene Expressed Omnibus database, including three samples without propranolol treatment (control), three samples with propranolol treatment for 4 h and three samples with propranolol treatment for 24 h. The differentially expressed genes (DEGs) in angiosarcoma tumor cells with or without propranolol treatment were obtained via the limma package of R and designated DEGs-4 h and DEGs-24 h. The DEGs-24 h group was divided into two sets. Set 1 contained the DEGs also contained in the DEGs-4 h group. Set 2 contained the remainder of the DEGs. Functional and pathway enrichment analysis of sets 1 and 2 was performed. The protein-protein interaction (PPI) networks of sets 1 and 2 were constructed, termed PPI 1 and PPI 2, and visualized using Cytoscape software. Modules of the two PPI networks were analyzed, and their topological structures were simulated using the tYNA platform. A total of 543 and 2,025 DEGs were identified in angiosarcoma tumor cells treated with propranolol for 4 and 24 h, respectively, compared with the control group. A total of 401 DEGs were involved in DEGs-4 h and DEGs-24 h, including metallothionein 1, heme oxygenase 1, WW domain-binding protein 2 and sequestosome 1. Certain significantly enriched gene ontology (GO) terms and pathways of sets 1 and 2 were identified, containing 28 overlapping GO terms. Furthermore, 121 nodes and 700 associated pairs were involved in PPI 1, whereas 1,324 nodes and 11,839 associated pairs were involved in PPI 2. A total of 45 and 593 potential target genes were obtained according to the node degrees of PPI 1 and PPI 2. The results of the present study indicated that a number of potential target genes, including AXL receptor tyrosine kinase, coatomer subunit a, DR1-associated protein 1 and ERBB receptor feedback inhibitor 1 may be involved in the effect of propranolol on angiosarcoma.
引用
收藏
页码:4267 / 4275
页数:9
相关论文
共 50 条
  • [31] Identification of potential target genes in pancreatic ductal adenocarcinoma by bioinformatics analysis
    Tang, Yuchen
    Zhang, Zixiang
    Tang, Yaocheng
    Chen, Xinyu
    Zhou, Jian
    ONCOLOGY LETTERS, 2018, 16 (02) : 2453 - 2461
  • [32] Identification of potential and novel target genes in pituitary prolactinoma by bioinformatics analysis
    Ghatnatti, Vikrant
    Vastrad, Basavaraj
    Patil, Swetha
    Vastrad, Chanabasayya
    Kotturshetti, Iranna
    AIMS NEUROSCIENCE, 2021, 8 (02) : 254 - 283
  • [33] Identification of genes regulated by Wnt/β-catenin pathway and involved in apoptosis via microarray analysis
    Moli Huang
    Yihua Wang
    Daochun Sun
    Hongxia Zhu
    Yanbing Yin
    Wei Zhang
    Shangbin Yang
    Lanping Quan
    Jinfeng Bai
    Shengqi Wang
    Quan Chen
    Songgang Li
    Ningzhi Xu
    BMC Cancer, 6
  • [34] Identification of genes regulated by Wnt/β-catenin pathway and involved in apoptosis via microarray analysis
    Huang, Moli
    Wang, Yihua
    Sun, Daochun
    Zhu, Hongxia
    Yin, Yanbing
    Zhang, Wei
    Yang, Shangbin
    Quan, Lanping
    Bai, Jinfeng
    Wang, Shengqi
    Chen, Quan
    Li, Songgang
    Xu, Ningzhi
    BMC CANCER, 2006, 6 (1)
  • [35] Identification of hub genes in diabetic kidney disease via multiple-microarray analysis
    Zhang, Yumin
    Li, Wei
    Zhou, Yunting
    ANNALS OF TRANSLATIONAL MEDICINE, 2020, 8 (16)
  • [36] Identification of marker genes for intestinal immunomodulating effect of a fructooligosaccharide by DNA microarray analysis
    Fukasawa, Tomoyuki
    Murashima, Koichiro
    Matsumoto, Ichiro
    Hosono, Akira
    Ohara, Hiroki
    Nojiri, Chuhei
    Koga, Jinnichiro
    Kubota, Hidetoshi
    Kanegae, Minoru
    Kaminogawa, Shuichi
    Abe, Keiko
    Kono, Toshiaki
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2007, 55 (08) : 3174 - 3179
  • [37] Identification of genes associated with multiple cancers via integrative analysis
    Shuangge Ma
    Jian Huang
    Meena S Moran
    BMC Genomics, 10
  • [38] Identification of genes associated with multiple cancers via integrative analysis
    Ma, Shuangge
    Huang, Jian
    Moran, Meena S.
    BMC GENOMICS, 2009, 10
  • [39] Identification of hepatocellular carcinoma-associated hub genes and pathways by integrated microarray analysis
    Liu, Fangfeng
    Li, Hongguang
    Chang, Hong
    Wang, Jianlu
    Lu, Jun
    TUMORI, 2015, 101 (02) : 206 - 214
  • [40] Identification of Potential Therapeutic Target Genes in Osteoarthritis
    Hu, Yang
    Wu, Yinteng
    Gan, Fu
    Jiang, Mingyang
    Chen, Dongxu
    Xie, Mingjing
    Jike, Yiji
    Bo, Zhandong
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2022, 2022