Chen S, Zhu B, Yu L
State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China.
Cytogenet Genome Res. 2006;112(1-2):53-9. doi: 10.1159/000087513.
Most human cancers are characterized by genomic instability. Changes associated with such may result in altered expression of numerous genes. The sequence information available in the public databases can be used to identify transcripts differentially expressed in cancers. Determining cancer-related genes that are commonly deregulated in different tumor types may facilitate identification of targets for cancer diagnoses and therapeutic treatments. Using a data-mining tool named Digital Differential Display (DDD) from the UniGene database at the NCBI web site, gene expression levels of ten different tumor types and their counterpart normal tissues were analyzed. Unigenes which showed transcriptional regulation in more than five tumor types with > or =2-fold differences from normal tissues were identified. The expression data of selected Unigenes were subjected to clustering analysis. 127 commonly up-regulated genes and 92 commonly down-regulated genes were identified. Clustering analysis using these genes showed that most tumor types can be clustered into a separate branch from most normal tissues. Nineteen genes that have been shown to be involved in carcinogenesis by experimental evidence were also identified. Present computational analyses revealed 219 candidate cancer-related genes that are commonly deregulated in ten human tumor types which may contribute to the progress of carcinogenesis.
大多数人类癌症的特征是基因组不稳定。与此相关的变化可能导致众多基因的表达改变。公共数据库中可用的序列信息可用于识别癌症中差异表达的转录本。确定在不同肿瘤类型中普遍失调的癌症相关基因可能有助于识别癌症诊断和治疗的靶点。使用美国国立医学图书馆（NCBI）网站上UniGene数据库中的一种名为数字差异显示（DDD）的数据挖掘工具，分析了十种不同肿瘤类型及其相应正常组织的基因表达水平。鉴定出在五种以上肿瘤类型中显示出转录调控且与正常组织有≥2倍差异的单基因簇（Unigene）。对选定单基因簇的表达数据进行聚类分析。鉴定出127个常见上调基因和92个常见下调基因。使用这些基因进行的聚类分析表明，大多数肿瘤类型可以与大多数正常组织聚类到不同的分支。还鉴定出19个已被实验证据证明与致癌作用有关的基因。目前的计算分析揭示了219个在十种人类肿瘤类型中普遍失调的候选癌症相关基因，它们可能有助于致癌作用的进展。
