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题目:: Renal Cell Carcinoma
ID:
状态:: 发布时间Jan. 31, 2006 , 更新时间 Oct. 18, 2011 , 提交时间 Jan. 30, 2006,
物种:: Homo sapiens
摘要:: Renal cell carcinoma comprises several histological types with different clinical behavior. Accurate pathological characterization is important in the clinical management of these tumors. We describe gene expression profiles in 41 renal tumors determined by using DNA microarrays containing 22,648 unique cDNAs representing 17,083 different UniGene Clusters, including 7230 characterized human genes. Differences in the patterns of gene expression among the different tumor types were readily apparent; hierarchical cluster analysis of the tumor samples segregated histologically distinct tumor types solely based on their gene expression patterns. Conventional renal cell carcinomas with clear cells showed a highly distinctive pattern of gene expression. Papillary carcinomas formed a tightly clustered group, as did tumors arising from the distal nephron and the normal kidney samples. Surprisingly, conventional renal cell carcinomas with granular cytoplasm were heterogeneous, and did not resemble any of the conventional carcinomas with clear cytoplasm in their pattern of gene expression. Characterization of renal cell carcinomas based on gene expression patterns provides a revised classification of these tumors and has the potential to supply significant biological and clinical insights. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Computed
实验种类:: unknown experiment type
样本量:: 88
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: 无设计数据
数据号:: E-GEOD-4125, GSE4125
数据状态:: 无法自动分析，您可以尝试手动分析数据。

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