Tackels-Horne D, Goodman M D, Williams A J, Wilson D J, Eskandari T, Vogt L M, Boland J F, Scherf U, Vockley J G
Gene Logic, Inc., Gaithersburg, Maryland 20878, USA.
Cancer. 2001 Jul 15;92(2):395-405. doi: 10.1002/1097-0142(20010715)92:2<395::aid-cncr1335>3.0.co;2-u.
The characterization of differentially expressed genes between cancerous and normal tissues is an important step in the understanding of tumorigenesis. Global gene expression profiling with microarrays has now offered a powerful tool to measure the changes of thousands of genes in any carcinoma tissues in an effort to identify these key disease-related genes. To compare the gene expression of a primary liver carcinoma, metastatic carcinoma to the liver, and normal liver, the authors analyzed tissue from six primary hepatocellular carcinomas (HCCs), five colorectal adenocarcinoma metastases to the liver, and eight normal livers.
Samples were processed from total RNA to fragmented cRNA and hybridized onto Affymetrix GeneChip(R) expression arrays. Analyses were performed to determine the consensus pattern of gene expression for primary liver carcinoma, metastatic liver carcinoma, and normal liver tissue and their changes in expression level.
In hepatocellular carcinoma, 842 genes were overexpressed, and 393 genes were underexpressed in comparison with genes of normal liver tissue. Of note, 7 of the 20 most increased identified known genes previously have been associated with liver carcinoma or other types of cancers. The 13 additional identified genes until now have not previously shown strong association with cancers. Furthermore, the authors identified 42 genes and 24 expressed sequence tags that are expressed at a significant level in both HCC and metastastic tumors, presenting a list of marker genes indicative of cancerous liver tissue.
In this study, genes that can be involved in the production of and maintenance of hepatic carcinomas were identified. These data offer new insight into genes that are potentially important in the pathogenesis of liver carcinoma, as well as additional targets for new strategies for cancer therapy and treatment.
表征癌组织与正常组织之间差异表达的基因是理解肿瘤发生的重要一步。利用微阵列进行全基因组表达谱分析,现已提供了一个强大的工具,用于测量任何癌组织中数千个基因的变化,以识别这些与疾病相关的关键基因。为了比较原发性肝癌、肝转移癌和正常肝脏的基因表达,作者分析了6例原发性肝细胞癌(HCC)、5例结直肠癌肝转移癌和8例正常肝脏的组织样本。
样本从总RNA处理为片段化的cRNA,然后与Affymetrix GeneChip(R)表达阵列杂交。进行分析以确定原发性肝癌、肝转移癌和正常肝组织基因表达的共识模式及其表达水平的变化。
与正常肝组织的基因相比,在肝细胞癌中,有842个基因过度表达,393个基因表达不足。值得注意的是,在20个表达增加最多的已知基因中,有7个基因先前已与肝癌或其他类型的癌症相关联。另外13个已鉴定出的基因此前未显示与癌症有强关联。此外,作者还鉴定出42个基因和24个表达序列标签,它们在HCC和转移性肿瘤中均有显著表达,列出了一组指示癌性肝组织的标记基因。
在本研究中,鉴定出了可能参与肝癌发生和维持的基因。这些数据为肝癌发病机制中潜在重要的基因提供了新的见解,也为癌症治疗的新策略提供了更多靶点。