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定量研究固定剂诱导的小鼠和人乳腺癌的形态和抗原变化。

Quantitation of fixative-induced morphologic and antigenic variation in mouse and human breast cancers.

机构信息

Center for Comparative Medicine, University of California, Davis, CA 95616, USA.

出版信息

Lab Invest. 2013 Apr;93(4):480-97. doi: 10.1038/labinvest.2013.10. Epub 2013 Feb 11.

Abstract

Quantitative Image Analysis (QIA) of digitized whole slide images for morphometric parameters and immunohistochemistry of breast cancer antigens was used to evaluate the technical reproducibility, biological variability, and intratumoral heterogeneity in three transplantable mouse mammary tumor models of human breast cancer. The relative preservation of structure and immunogenicity of the three mouse models and three human breast cancers was also compared when fixed with representatives of four distinct classes of fixatives. The three mouse mammary tumor cell models were an ER+/PR+ model (SSM2), a Her2+ model (NDL), and a triple negative model (MET1). The four breast cancer antigens were ER, PR, Her2, and Ki67. The fixatives included examples of (1) strong cross-linkers, (2) weak cross-linkers, (3) coagulants, and (4) combination fixatives. Each parameter was quantitatively analyzed using modified Aperio Technologies ImageScope algorithms. Careful pre-analytical adjustments to the algorithms were required to provide accurate results. The QIA permitted rigorous statistical analysis of results and grading by rank order. The analyses suggested excellent technical reproducibility and confirmed biological heterogeneity within each tumor. The strong cross-linker fixatives, such as formalin, consistently ranked higher than weak cross-linker, coagulant and combination fixatives in both the morphometric and immunohistochemical parameters.

摘要

对乳腺癌抗原的数字化全切片图像进行定量图像分析(QIA),用于评估三种可移植的人乳腺癌小鼠乳腺肿瘤模型中的形态计量学参数和免疫组织化学的技术重复性、生物学变异性和肿瘤内异质性。还比较了用代表四种不同固定剂类别的固定剂固定时,三种小鼠模型和三种人乳腺癌的结构和免疫原性的相对保留情况。三种小鼠乳腺肿瘤细胞模型为 ER+/PR+模型(SSM2)、Her2+模型(NDL)和三阴性模型(MET1)。四种乳腺癌抗原为 ER、PR、Her2 和 Ki67。固定剂包括(1)强交联剂、(2)弱交联剂、(3)凝固剂和(4)组合固定剂的示例。使用改良的 Aperio 技术 ImageScope 算法对每个参数进行定量分析。需要对算法进行仔细的预分析调整,以提供准确的结果。QIA 允许对结果进行严格的统计分析和等级评分。分析表明,技术重复性极佳,并证实了每个肿瘤内的生物学异质性。在形态计量学和免疫组织化学参数方面,福尔马林等强交联固定剂的评分始终高于弱交联、凝固和组合固定剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/819b/3843496/47b1dbf2e28b/nihms-515542-f0001.jpg

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