基于快速立体学的淋巴结树突状细胞定量免疫组化方法研究

Y. van Hensbergen, S. L. Luykx‐de Bakker, D. Heideman, G. Meijer, H. Pinedo, P. V. van Diest
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引用次数: 11

摘要

本研究的目的是建立一种快速可靠的方案,用于评估淋巴结中免疫组织化学染色的树突状细胞的分数体积。用S100抗体对20例局部晚期乳腺癌患者腋窝淋巴结进行免疫组织化学染色。树突状细胞的分数体积通过基于立体学的定量免疫组织化学评估,使用交互式视频覆盖系统,包括自动显微镜。树突状细胞的金标准百分比是系统地分布在整个淋巴结的500个区中S100染色细胞的分数体积。然后,在计算机模拟中,测试了不同样本量(1-200个视野),并计算了每种样本量的变异系数(CV)。CV随样本量的增加而下降。100个视野范围的样本量似乎是最佳的。当用既定方案重新分析病例时,观察者内部和观察者之间的再现性似乎很好(相关系数分别为0.95和0.86)。总之,半自动定量免疫组织化学可以快速可靠地评估淋巴结中树突状细胞的分数体积。该方法将为进一步临床研究局部晚期乳腺癌患者淋巴结免疫应答奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid Stereology Based Quantitative Immunohistochemistry of Dendritic Cells in Lymph Nodes: A Methodological Study
This study was done to arrive at a fast and reliable protocol for assessment of fractional volumes of immunohistochemically stained dendritic cells in lymph nodes. Twenty axillary lymph nodes of patients with locally advanced breast cancer were immuno‐histochemically stained with an S100 antibody. Fractional volumes of dendritic cells were assessed by stereology based quantitative immunohistochemistry using an interactive video overlay system including an automated microscope. The gold standard percentage of dendritic cells was the fractional volume of S100 stained cells in 500 fields systematically spread over the whole lymph node. Then, in a computer simulation, different sample sizes (1–200 fields of vision) were tested and the coefficient of variation (CV) for each sample size was calculated. The CV dropped with increasing sample size. A sample size of 100 fields of vision appeared to be optimal. Intra‐ and interobserver reproducibility appeared to be good (correlation coefficients of 0.95 and 0.86, respectively) when re‐analyzing the cases with the established protocol. In conclusion, a fast and reliable assessment of the fractional volume of dendritic cells in lymph nodes is possible with semi‐automated quantitative immuno‐histochemistry. This method will form the base for further clinical studies into the immunological response in lymph nodes of patients with locally advanced breast cancer.
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