Camp R L, Charette L A, Rimm D L
Department of Pathology, Yale University School of Medicine, New Haven, Connecticut 06510, USA.
Lab Invest. 2000 Dec;80(12):1943-9. doi: 10.1038/labinvest.3780204.
The recent development of tissue microarray technology has potentiated large-scale retrospective cohort studies using archival formalin-fixed, paraffin-embedded tissues. A major obstacle to broad acceptance of microarrays is that they reduce the amount of tissue analyzed from a whole tissue section to a disk, 0.6 mm in diameter, that may not be representative of the protein expression patterns of the entire tumor. In this study, we examine the number to disks required to adequately represent the expression of three common antigens in invasive breast carcinoma--estrogen receptor, progesterone receptor, and the Her2/neu oncogene--in 38 cases of invasive breast carcinoma. We compared the staining of 2 to 10 microarray disks and the whole tissue sections from which they were derived and determined that analysis of two disks is comparable to analysis of a whole tissue section in more than 95% of cases. To evaluate the potential for using archival tissue in such arrays, we created a breast cancer microarray of 8 to 11 cases from each decade beginning in 1932 to the present day and evaluated the antigenicity of these markers and others. This array demonstrates that many proteins retain their antigenicity for more than 60 years, thus validating their study on archival tissues. We conclude that the tissue microarray technique, with 2-fold redundancy, is a valuable and accurate method for analysis of protein expression in large archival cohorts.
组织微阵列技术的最新发展推动了使用存档福尔马林固定、石蜡包埋组织进行大规模回顾性队列研究。微阵列广泛应用的一个主要障碍是,它们将从整个组织切片分析的组织量减少到一个直径为0.6毫米的圆盘,而这个圆盘可能无法代表整个肿瘤的蛋白质表达模式。在本研究中,我们检查了在38例浸润性乳腺癌中充分代表三种常见抗原(雌激素受体、孕激素受体和Her2/neu癌基因)表达所需的圆盘数量。我们比较了2至10个微阵列圆盘及其来源的整个组织切片的染色情况,确定在超过95%的病例中,分析两个圆盘与分析整个组织切片相当。为了评估在这种阵列中使用存档组织的潜力,我们创建了一个乳腺癌微阵列,其中包含从1932年至今每个十年的8至11例病例,并评估了这些标志物和其他标志物的抗原性。该阵列表明,许多蛋白质在60多年里仍保持其抗原性,从而验证了对存档组织进行研究的可行性。我们得出结论,具有两倍冗余性的组织微阵列技术是分析大型存档队列中蛋白质表达的一种有价值且准确的方法。