Identification of Commonly Dysregulated Genes in Non-small-cell Lung Cancer by Integrated Analysis of Microarray Data and qRT-PCR Validation

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• 作者：Zi-Qiang Tian ; Zhen-Hua Li ; Shi-Wang Wen ; Yue-Feng Zhang ; Yong Li ; Jing-Ge Cheng…
• 关键词：Non ; small ; cell lung cancer ; Meta ; analysis ; Microarray ; Differentially expressed genes
• 刊名：Lung
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：193
• 期：4
• 页码：583-592
• 全文大小：1,309 KB
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• 作者单位：Zi-Qiang Tian (1)
  Zhen-Hua Li (1)
  Shi-Wang Wen (1)
  Yue-Feng Zhang (1)
  Yong Li (1)
  Jing-Ge Cheng (1)
  Gui-Ying Wang (2)
  
  1. Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
  2. The Second Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
  
• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Pneumology and Respiratory System
  
• 出版者：Springer New York
• ISSN：1432-1750

文摘

Background Non-small-cell lung cancer (NSCLC), the most common lung cancer, leads to the largest number of cancer-related deaths worldwide. There are many studies to identify the differentially expressed genes (DEGs) between NSCLC and normal control (NC) tissues by means of microarray technology. Because of the inconsistency of the microarray data sets, we performed an integrated analysis to identify DEGs and analyzed their biological function. Methods and Results We combined 15 microarray data sets and identified 1063 DEGs between NSCLC and NC tissues; in addition, we found that the DEGs were enriched in regulation of cell proliferation process and focal adhesion signaling pathway. The protein–protein interaction network analysis for the top 20 significantly DEGs revealed that CAV1, COL1A1, and ADRB2 were the significant hub proteins. Finally, we employed qRT-PCR to validate the meta-analysis approach by determining the expression of the top 10 most significantly DEGs and found that the expression of these genes were significantly different between tumor and NC tissues, in accordance with the results of meta-analysis. Conclusion qRT-PCR results indicated that the meta-analysis approach in our study was acceptable. Our data suggested that some of the DEGs, including MMP12, COL11A1, THBS2, FAP, and CAV1, may participate in the pathology of NSCLC and could be applied as potential markers or therapeutic targets for NSCLC.