Decoding global gene expression programs in liver cancer by noninvasive imaging
Decoding global gene expression programs in liver cancer by noninvasive imaging
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DOI：
10.1038/nbt1306
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发表时间：
2007-06-01
影响因子：
46.9
通讯作者：
Kuo, Michael D.
中科院分区：
文献类型：
--
作者：
Segal, Eran;Sirlin, Claude B.;Kuo, Michael D.
除了遗传和蛋白质活性的多样性之外，病理性人体组织也表现出不同的放射学特征。在这里，我们表明，在非侵入性计算机断层扫描（CT）的动态成像特征系统地与全球基因表达程序的原发性人类肝癌。28种影像学特征的组合可以重建78%的全球基因表达谱，揭示细胞增殖，肝脏合成功能和患者预后。因此，人类肝癌的基因组活性可以通过非侵入性成像来解码，从而实现个性化医疗的非侵入性、连续和频繁的分子谱分析。
Paralleling the diversity of genetic and protein activities, pathologic human tissues also exhibit diverse radiographic features. Here we show that dynamic imaging traits in noninvasive 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.