Gene expression profiles in lung cancer using cDNA array

基因表达序列分析（SAGE）是一种高度定量的方法，可以确定每个转录本在任何特定组织中的相对表达。我们最近使用分层聚类和SAGE结果对肺癌的基因表达进行了全面分析。我们发现，基于SAGE识别的基因表达模式，可以区分肿瘤状态和癌症亚型。此外，我们鉴定了115个高度差异表达的转录本，这些转录本也可以提供相同的区分。这些基因中的许多要么先前被确定为肺肿瘤标志物，要么揭示了所分析的肿瘤组织特有的分子特征。

Serial analysis of gene expression (SAGE) is a highly quantitative method that determines the relative expression of each transcript present in any particular tissue of interest. We have recently performed a comprehensive analysis of gene expression using hierarchical clustering and our SAGE result from lung cancers. We found that the neoplastic state as well as the cancer subtypes could be distinguished based on gene expression patterns identified by SAGE. Furthermore, we identified 115 highly differentially expressed transcripts that could also provide the same distinction. Many of these genes were either previously identified as lung tumor markers or revealed molecular characteristics unique to the tumor tissue analyzed. cDNA array is a complementing method that allows for rapid analysis of many genes that are present at a higher level in the tissues. Using Affymetrix cDNA arrays, we have surveyed 50 primary lung tumors to determine the gene expression pattern among these tumors. Analysis are currently underway to determine the association of gene expression patterns obtained by cDNA array with the clinical and genetic phenotypes of lung cancer.