Department of Endocrinology, Metabolism and Cancer, Institut Cochin, INSERM U567, University Paris Descartes, CNRS UMR8104, Paris, France.
Trends Endocrinol Metab. 2010 May;21(5):325-34. doi: 10.1016/j.tem.2009.12.009. Epub 2010 Jan 25.
Analyzing gene expression (transcriptome) in tissue is now reliable using industrial pangenomic microarrays. Accumulating data on adrenal cortex and adrenocortical tumor transcriptomes have already identified striking transcriptome differences not only between adenoma and carcinoma but also between two sets of carcinoma, which have very different prognoses. These findings result in the development of diagnostic and prognostic molecular predictors, which improve the outcome determination compared with standard clinical and pathological tools. These transcriptome data observing adrenocortical tumor phenotype in great but complex detail, combined with genomic and proteomic information, will function for future research investigating the pathophysiology of their tumorigenesis and hormonal secretion.
利用工业全基因组微阵列，现在可以可靠地分析组织中的基因表达（转录组）。关于肾上腺皮质和肾上腺皮质肿瘤转录组的累积数据已经表明，不仅在腺瘤和癌之间，而且在两种预后差异非常大的癌之间，转录组存在显著差异。这些发现导致了诊断和预后分子预测因子的发展，与标准的临床和病理工具相比，这些预测因子改善了预后的确定。这些转录组数据详细地观察了肾上腺皮质肿瘤表型，但非常复杂，结合基因组和蛋白质组信息，将为未来研究其肿瘤发生和激素分泌的病理生理学提供功能。
