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Gene expression patterns in human liver cancers

GSE3500 Homo sapiens Expression profiling by array 207 samples Submitted 2005/10/25 Platform GPL3009Platform GPL2906Platform GPL2935Platform GPL2938Platform GPL2649Platform GPL3007Platform GPL3010Platform GPL3008Platform GPL2948Platform GPL3011Platform GPL2868Platform GPL2831Platform GPL2648
Summary
All the array experiments published in "Gene expression patterns in human liver cancers" by Chen X, et al. Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 overexpression. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
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Direct links to NCBI, no account and no request form: the whole study as GSE3500_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 207 samples.

Also filed as BioProject PRJNA93331. Searching any of these in the dataset finder brings you back here.

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