Hoos A, Urist M J, Stojadinovic A, Mastorides S, Dudas M E, Leung D H, Kuo D, Brennan M F, Lewis J J, Cordon-Cardo C
Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.
Am J Pathol. 2001 Apr;158(4):1245-51. doi: 10.1016/S0002-9440(10)64075-8.
Tissue microarrays allow high-throughput molecular profiling of cancer specimens by immunohistochemistry. Phenotype information of sections from arrayed biopsies on a multitissue block needs to be representative of full sections, as protein expression varies throughout the entire tumor specimen. To validate the use of tissue microarrays for immunophenotyping, we studied a group of 59 fibroblastic tumors with variable protein expression patterns by immunohistochemistry for Ki-67, p53, and the retinoblastoma protein (pRB). Data on full tissue sections were compared to the results of one, two, and three 0.6-mm core biopsies per tumor on a tissue array. Ki-67 and p53 staining was read as two categories (positive or negative). Concordance for this staining between tissue arrays with triplicate cores per tumor and full sections were 96 and 98%, respectively. For pRB staining was read as three categories (high, moderate, or negative), where concordance was 91%. The use of three cores per tumor resulted in lower numbers of lost cases and lower nonconcordance with standard full sections as compared to one or two cores per tumor. Correlations between phenotypes and clinical outcome were not significantly different between full section and array-based analysis. Triplicate 0.6-mm core biopsies sampled on tissue arrays provide a reliable system for high-throughput expression profiling by immunohistochemistry when compared to standard full sections. Triplicate cores offer a higher rate of assessable cases and a lower rate of nonconcordant readings than one or two cores. Concordance of triplicate cores is high (96 to 98%) for two category distinction and decreases with the complexity of the phenotypes being analyzed (91%).
组织微阵列可通过免疫组织化学对癌症标本进行高通量分子分析。由于蛋白质表达在整个肿瘤标本中存在差异,因此多组织块上排列活检切片的表型信息需要代表完整切片。为了验证组织微阵列用于免疫表型分析的有效性,我们通过对59例成纤维细胞肿瘤进行免疫组织化学检测,研究了Ki-67、p53和视网膜母细胞瘤蛋白(pRB)的可变蛋白表达模式。将全组织切片的数据与组织阵列上每个肿瘤的1个、2个和3个0.6毫米核心活检结果进行比较。Ki-67和p53染色分为两类(阳性或阴性)。每个肿瘤有三个重复核心的组织阵列与完整切片之间该染色的一致性分别为96%和98%。对于pRB染色分为三类(高、中或阴性),一致性为91%。与每个肿瘤1个或2个核心相比,每个肿瘤使用3个核心导致丢失病例数减少,与标准完整切片的不一致性降低。全切片分析和基于阵列的分析之间,表型与临床结果的相关性无显著差异。与标准全切片相比,组织阵列上0.6毫米的三个重复核心活检为免疫组织化学高通量表达分析提供了一个可靠的系统。与1个或2个核心相比,三个重复核心提供了更高的可评估病例率和更低的不一致读数率。对于两类区分,三个重复核心的一致性很高(96%至98%),并且随着所分析表型的复杂性增加而降低(91%)。