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High-sensitivity array analysis of gene expression for the early detection of disseminated breast tumor cells in peripheral blood

机译:早期基因表达的高灵敏度阵列分析 检测外周血中已扩散的乳腺肿瘤细胞

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摘要

Early detection is an effective means of reducing cancer mortality. Here, we describe a highly sensitive high-throughput screen that can identify panels of markers for the early detection of solid tumor cells disseminated in peripheral blood. The method is a two-step combination of differential display and high-sensitivity cDNA arrays. In a primary screen, differential display identified 170 candidate marker genes differentially expressed between breast tumor cells and normal breast epithelial cells. In a secondary screen, high-sensitivity arrays assessed expression levels of these genes in 48 blood samples, 22 from healthy volunteers and 26 from breast cancer patients. Cluster analysis identified a group of 12 genes that were elevated in the blood of cancer patients. Permutation analysis of individual genes defined five core genes (P ≤ 0.05, permax test). As a group, the 12 genes generally distinguished accurately between healthy volunteers and patients with breast cancer. Mean expression levels of the 12 genes were elevated in 77% (10 of 13) untreated invasive cancer patients, whereas cluster analysis correctly classified volunteers and patients (P = 0.0022, Fisher's exact test). Quantitative real-time PCR confirmed array results and indicated that the sensitivity of the assay (1:2 × 108 transcripts) was sufficient to detect disseminated solid tumor cells in blood. Expression-based blood assays developed with the screening approach described here have the potential to detect and classify solid tumor cells originating from virtually any primary site in the body.
机译:早期发现是降低癌症死亡率的有效手段。在这里,我们描述了一种高度灵敏的高通量屏幕,该屏幕可以识别用于早期检测散布在外周血中的实体肿瘤细胞的标记物面板。该方法是差分显示和高灵敏度cDNA阵列的两步组合。在初步筛选中,差异显示鉴定了170个候选标记基因,它们在乳腺肿瘤细胞和正常乳腺上皮细胞之间差异表达。在二级筛选中,高灵敏度阵列评估了这些基因在48个血液样本中的表达水平,其中22个来自健康志愿者,而26个来自乳腺癌患者。聚类分析确定了一组12个在癌症患者血液中升高的基因。单个基因的排列分析定义了五个核心基因(P≤0.05,permax测试)。作为一个整体,这12个基因通常可以准确区分健康志愿者和乳腺癌患者。在未经治疗的浸润性癌症患者中,有77%(13个中的10个)中12个基因的平均表达水平升高,而聚类分析正确地分类了志愿者和患者(P = 0.0022,Fisher精确检验)。实时定量PCR证实了阵列结果,并表明该测定的灵敏度(1:2×108转录本)足以检测血液中扩散的实体瘤细胞。用此处描述的筛选方法开发的基于表达的血液检测方法有可能检测和分类实际上来自人体任何主要部位的实体肿瘤细胞。

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