Department of Interdisciplinary Endoscopy, University Hospital Hamburg Eppendorf, Hamburg, Germany.
Mol Carcinog. 2013 Jan;52(1):29-38. doi: 10.1002/mc.20874. Epub 2011 Oct 19.
Angiogenesis is a prerequisite for progression of cancers. The number of genes linked to angiogenesis suggests the existence of complex gene-networks, which remain to be elucidated. To identify angiogenesis genes deregulated in carcinomas, we performed a meta-profiling analysis of published gene expression microarray studies. Own microarray and quantitative RT-PCR data were obtained from a colorectal carcinoma cohort. Applying highly stringent inclusion criteria, 15 cancer array studies were suitable for our analysis. These studies provided 789 tumor specimens and 190 samples of healthy tissues yielding a total of approx. 1,000,000 gene expression measurements. Meta-analysis on the expression of 480 angiogenesis-related genes in 10 cancer types identified a characteristic, entity-independent "global" cancer expression signature of 25 angiogenesis-related genes showing high frequency down-regulation when compared to corresponding healthy tissues. Furthermore, we characterized 25 genes displaying frequent up-regulation, yet less often than the 25 down-regulated genes. Comparative inter-study cross-validation revealed that both signatures discriminate cancers from healthy tissues with high accuracy in independent test sets. Moreover, own microarray data of colorectal carcinomas confirmed the specific and sensitive discriminating potential of both signatures. These results were validated by quantitative RT-PCR for eight genes displaying the highest differences in the microarray analysis. Our study for the first time defines global gene expression signatures linked to angiogenesis in carcinomas. Our findings suggest that gene down-regulation may represent a central aspect of tumor angiogenesis.
血管生成是癌症进展的前提。与血管生成相关的基因数量表明存在复杂的基因网络,这些网络仍有待阐明。为了确定癌症中血管生成基因的失调,我们对已发表的基因表达微阵列研究进行了荟萃分析。我们从结直肠癌队列中获得了自己的微阵列和定量 RT-PCR 数据。应用严格的纳入标准,15 项癌症阵列研究适合我们的分析。这些研究提供了 789 个肿瘤标本和 190 个健康组织样本,总共产生了约 100 万个基因表达测量值。对 10 种癌症中 480 个与血管生成相关的基因表达的荟萃分析确定了一个特征性的、与实体无关的“全局”癌症表达特征,与相应的健康组织相比,25 个与血管生成相关的基因显示出高频下调。此外,我们还鉴定了 25 个基因显示出高频上调,但上调频率低于 25 个下调基因。比较研究间的交叉验证表明,这两个特征在独立测试集中都能以高精度区分癌症和健康组织。此外,我们对结直肠癌的微阵列数据证实了这两个特征的特异性和敏感性的区分潜力。对微阵列分析中差异最大的 8 个基因进行定量 RT-PCR 验证了这些结果。我们的研究首次定义了与癌症中血管生成相关的全局基因表达特征。我们的研究结果表明,基因下调可能是肿瘤血管生成的一个核心方面。