Rosen Daniel G, Huang Xuelin, Deavers Michael T, Malpica Anais, Silva Elvio G, Liu Jinsong
Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030-4095, USA.
Mod Pathol. 2004 Jul;17(7):790-7. doi: 10.1038/modpathol.3800120.
High-throughput tissue microarray allows many clinical specimens to be analyzed simultaneously on a single slide. One potential limitation of tissue microarray is the correct representation of each tumor with the small tissue core. Because tumors from different organs have different levels of heterogeneity, it requires a validation study for each one of them. We compared immunostaining of Ki-67, estrogen receptors, and p53 in whole sections of 45 cases of high-grade serous ovarian carcinoma with six core samples from those sections with regard to the number of tissue cores needed to reliably represent a whole section. Staining for Ki-67 was graded high or low by automated image analysis of 10 high-power fields; staining for estrogen receptor and p53 was scored on a 0-to-3 scale. Correlation coefficients for whole-section vs core stains were 0.86 for Ki-67, 0.93 for estrogen receptors, and 0.82 for p53. A total of 54 (6.6%) of the cores were inadequate for scoring. The probability that results from one core would correctly represent all three markers in the whole section was 91%; that for two cores was 96%; and that for three cores was 98%. Our results show that analysis of a single readable core matched the staining pattern of a whole section more than 90% of the time, and analysis of two cores increased that value to more than 95%, demonstrating that ovarian carcinoma tissue microarray is a reliable technique to analyze the expression of markers.
高通量组织芯片可在一张载玻片上同时对多个临床标本进行分析。组织芯片的一个潜在局限性在于，小组织芯能否正确代表每个肿瘤。由于来自不同器官的肿瘤具有不同程度的异质性，因此每个肿瘤都需要进行验证研究。我们比较了45例高级别浆液性卵巢癌全切片中Ki-67、雌激素受体和p53的免疫染色情况，以及这些切片中的六个芯样，以确定可靠代表整个切片所需的组织芯数量。通过对10个高倍视野进行自动图像分析，将Ki-67染色分为高或低；雌激素受体和p53染色按0至3分进行评分。全切片与芯样染色的相关系数分别为：Ki-67为0.86，雌激素受体为0.93，p53为0.82。共有54个（6.6%）芯样评分不足。一个芯样的结果能正确代表全切片中所有三种标志物的概率为91%；两个芯样的概率为96%；三个芯样的概率为98%。我们的结果表明，对单个可读芯样的分析在超过90%的情况下与全切片的染色模式相符，对两个芯样的分析将这一比例提高到超过95%，这表明卵巢癌组织芯片是一种分析标志物表达的可靠技术。
