ZHU Xiao-dong,GUO Ya,QU Song,LI Ling,HUANG Shi-ting,LI Dan-rong,ZHANG Wei.Radioresistance related genes screened by protein-protein interaction network analysis in nasopharyngeal carcinoma[J].Chinese Journal of Radiological Medicine and Protection,2012,32(1):20-24
Radioresistance related genes screened by protein-protein interaction network analysis in nasopharyngeal carcinoma
Received:March 08, 2011  
DOI:10.3760/cma.j.issn.0254-5098.2012.01.005
KeyWords:Nasopharyngeal carcinoma  Radioresistance  Gene chip  Protein-protein inter-action network
FundProject:国家自然科学基金(30860329);广西壮族自治区自然科学基金(桂科自0832229);广西大型仪器协作共用网测试补助项目(851-2009-055);广西2010年研究生教育创新计划资助项目(2010105981002M214)
Author NameAffiliationE-mail
ZHU Xiao-dong Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning 530021, China zhuxiaodong1966@yahoo.com.cn 
GUO Ya Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning 530021, China  
QU Song Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning 530021, China  
LI Ling Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning 530021, China  
HUANG Shi-ting Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning 530021, China  
LI Dan-rong 530021 南宁, 广西医科大学附属肿瘤医院 广西壮族自治区肿瘤防治研究所实验研究部  
ZHANG Wei 530021 南宁, 广西医科大学附属肿瘤医院 广西壮族自治区肿瘤防治研究所实验研究部  
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Abstract::
      Objective To discover radioresistance associated molecular biomarkers and its mechanism in nasopharyngeal carcinoma by protein-protein interaction network analysis. Methods Whole genome expression microarray was applied to screen out differentially expressed genes in two cell lines CNE-2R and CNE-2 with different radiosensitivity. Four differentially expressed genes were randomly selected for further verification by the semi-quantitative RT-PCR analysis with self-designed primers. The common differentially expressed genes from two experiments were analyzed with the SNOW online database in order to find out the central node related to the biomarkers of nasopharyngeal carcinoma radioresistance. The expression of STAT1 in CNE-2R and CNE-2 cells was measured by Western blot. Results Compared with CNE-2 cells, 374 genes in CNE-2R cells were differentially expressed while 197 genes showed significant differences. Four randomly selected differentially expressed genes were verified by RT-PCR and had same change trend in consistent with the results of chip assay. Analysis with the SNOW database demonstrated that those 197 genes could form a complicated interaction network where STAT1 and JUN might be two key nodes. Indeed, the STAT1-α expression in CNE-2R was higher than that in CNE-2 (t=4.96, P<0.05). Conclusions The key nodes of STAT1 and JUN may be the molecular biomarkers leading to radioresistance in nasopharyngeal carcinoma, and STAT1-α might have close relationship with radioresistance.
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