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Validation of tissue microarray technology in ovarian carcinoma

机译:组织芯片技术在卵巢癌中的验证

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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.
机译:高通量组织芯片允许在一张载玻片上同时分析许多临床标本。组织微阵列的一个潜在局限性是具有小组织核心的每种肿瘤的正确表现。由于来自不同器官的肿瘤具有不同程度的异质性,因此需要对每个肿瘤进行验证研究。我们比较了45例高级别浆液性卵巢癌患者的Ki-67,雌激素受体和p53的免疫染色与这些切片中的六个核心样本的可靠性,以可靠地代表整个切片。通过对10个高倍视野的自动图像分析,对Ki-67的染色进行了高低分级。雌激素受体和p53的染色以0至3的等级评分。 Ki-67整节与核心染色的相关系数为0.86,雌激素受体为0.93,p53为0.82。共有54个(6.6%)的核心得分不足。一个核心产生的结果可以正确代表整个部分中的所有三个标记的概率为91%。两个核心为96%。而三核为98%。我们的结果表明,对单个可读核的分析与整个切片的染色模式匹配的时间超过90%,而对两个核的分析将其值提高到95%以上,表明卵巢癌组织芯片是一种分析标记表达的可靠技术。

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