Identification of differentially expressed genes in salivary adenoid cystic carcinoma cells associated with metastasis

被引:16
|
作者
Chen, Wei [1 ]
Liu, Bing-Yao [1 ]
Zhang, Xiang [1 ]
Zhao, Xiao-Ge [2 ]
Cao, Gang [1 ]
Dong, Zhen [1 ]
Zhang, Sen-Lin [1 ]
机构
[1] Nanjing Univ, Sch Med, Jinling Hosp, Dept Stomatol, 305 East Zhongshan Rd, Nanjing 210002, Jiangsu, Peoples R China
[2] Xi An Jiao Tong Univ, Coll Med, Key Lab Environm & Genes Related Dis, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
adenoid cystic carcinoma; metastasis; function annotation; protein-protein interaction; ENDOTHELIAL-GROWTH-FACTOR; FACTOR-KAPPA-B; TGF-BETA; INDUCED ANGIOGENESIS; UP-REGULATION; NITRIC-OXIDE; TUMORS; TGF-BETA-1; KINASE; GLANDS;
D O I
10.5114/aoms.2016.60973
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Salivary adenoid cystic carcinoma (SACC) is a frequent type of salivary gland cancer which is characterized by slow growth but high incidence of distant metastasis. We aimed to identify therapeutic targets which are associated with metastasis of SACC. Material and methods: Total RNA was isolated from a low metastatic SACC cell line (ACC-2) and a highly metastatic SACC cell line (ACC-M), which was screened from ACC-2 by combination of in vivo selection and cloning in vitro. Then the total RNA was subjected to microarray analysis. Differentially expressed genes (DEGs) were screened from ACC-M compared with ACC-2, followed by Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Function annotation for DEGs also was performed. A protein-protein interaction network (PPI) was constructed for DEGs. Results: A total of 1128 DEGs were identified from ACC-M cells compared with ACC-2 cells. Both up-and down-regulated DEGs were enriched in different functions in biological process (BP), cellular component (CC) and molecular function (MF). Additionally, down-regulated DEGs were mainly enriched in "Apoptosis" and "Cytokine-cytokine receptor interaction" pathways which involved IFN-alpha 1, NTRK1 and TGF-beta 1. In the PPI network, PIK3CA, PTPN11 and PIK3R1 had a number of nodes greater than 10. Conclusions: Transforming growth factor beta 1 might play a pivotal role during lung metastasis of SACC and be selected as a candidate target for treatment of metastatic SACC. IFNA1, NTRK1 and PIK3CA were also associated with tumor metastasis.
引用
收藏
页码:881 / 888
页数:8
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