Sültmann Holger, von Heydebreck Anja, Huber Wolfgang, Kuner Ruprecht, Buness Andreas, Vogt Markus, Gunawan Bastian, Vingron Martin, Füzesí Laszlo, Poustka Annemarie
Division of Molecular Genome Analysis, German Cancer Research Center, Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany.
Clin Cancer Res. 2005 Jan 15;11(2 Pt 1):646-55.
Current diagnosis of renal cancer consists of histopathologic examination of tissue sections and classification into tumor stages and grades of malignancy. Until recently, molecular differences between tumor types were largely unknown. To examine such differences, we did gene expression measurements of 112 renal cell carcinoma and normal kidney samples on renal cell carcinoma-specific cDNA microarrays containing 4,207 genes and expressed sequence tags. The gene expression patterns showed deregulation of complete biological pathways in the tumors. Many of the molecular changes corresponded well to the histopathologic tumor types, and a set of 80 genes was sufficient to classify tumors with a very low error rate. Distinct gene expression signatures were associated with chromosomal abnormalities of tumor cells, metastasis formation, and patient survival. The data highlight the benefit of microarrays to detect novel tumor classes and to identify genes that are associated with patient variables and tumor properties.
目前肾癌的诊断包括对组织切片进行组织病理学检查,并将其分类为肿瘤分期和恶性程度等级。直到最近,肿瘤类型之间的分子差异在很大程度上仍不为人知。为了研究这些差异,我们使用包含4207个基因和表达序列标签的肾癌特异性cDNA微阵列,对112个肾细胞癌样本和正常肾样本进行了基因表达测量。基因表达模式显示肿瘤中完整的生物学途径失调。许多分子变化与组织病理学肿瘤类型高度吻合,一组80个基因足以以极低的错误率对肿瘤进行分类。不同的基因表达特征与肿瘤细胞的染色体异常、转移形成和患者生存相关。这些数据突出了微阵列在检测新型肿瘤类别以及识别与患者变量和肿瘤特性相关基因方面的优势。