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Decoding global gene expression programs in liver cancer by noninvasive imaging

GSE7474 Homo sapiens Expression profiling by array 19 samples Submitted 2007/04/07 Platform GPL4541Platform GPL5071
Summary
ABSTRACT: Paralleling the diversity of genetic and protein activities, pathologic human tissues also exhibit diverse radiographic features. Here we show that dynamic imaging traits in non-invasive computed tomography (CT) systematically correlate with the global gene expression programs of primary human liver cancer. Combinations of twenty-eight imaging traits can reconstruct 78% of the global gene expression profiles, revealing cell proliferation, liver synthetic function, and patient prognosis. Thus, genomic activity of human liver cancers can be decoded by noninvasive imaging, thereby enabling noninvasive, serial and frequent molecular profiling for personalized medicine. Keywords: disease_state_design
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Also filed as BioProject PRJNA100279. Searching any of these in the dataset finder brings you back here.

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