Department of Radiation Oncology, 874 Radboud University Nijmegen Medical Centre, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.
Cell Oncol (Dordr). 2011 Apr;34(2):119-29. doi: 10.1007/s13402-010-0008-2. Epub 2011 Feb 8.
Automated analysis of immunohistochemically stained tissue sections is of great importance in cancer research to detect tumor-specific prognostic markers and make therapy decisions. Here, an automated quantitative analysis is presented to assess the colocalization of CAIX, a membrane-bound hypoxic marker and Ki-67, a nuclear proliferation marker.
Tissue sections of 104 biopsies from 89 patients were stained for CAIX and Ki-67 with diaminobenzidine and haematoxylin counterstain. Image scans of whole tumor sections were recorded and image maps were created with parametric mapping to quantify the markers and assess the colocalization.
The fraction of CAIX showed a range of 0-93%. The interobserver correlation and the correlation between manual scores and automated analysis were both very strong (rs=0.96, p<0.0001, and rs=0.97, p<0.0001). The labelling index of Ki-67 exhibited a range of 0-42% with less strong interobserver and manual to automated analysis correlations (rs=0.90, p<0.0001, and rs=0.71, p<0.0008). The relative tumor area positive for both markers varied from 0-76%.
Parametric mapping of immunohistochemically stained tumor sections is a reliable method to quantitatively analyze membrane-bound proteins and assess the colocalization of various tumor markers in different subcellular compartments.
在癌症研究中,对免疫组织化学染色的组织切片进行自动分析对于检测肿瘤特异性预后标志物和做出治疗决策非常重要。在这里,提出了一种自动定量分析方法,用于评估膜结合缺氧标志物 CAIX 和核增殖标志物 Ki-67 的共定位。
对 89 名患者的 104 个活检组织切片进行了 CAIX 和 Ki-67 的染色,使用二氨基联苯胺和苏木精复染。记录整个肿瘤切片的图像扫描,并使用参数映射创建图像图,以量化标志物并评估共定位。
CAIX 的分数范围为 0-93%。观察者间的相关性和手动评分与自动分析之间的相关性均非常强(rs=0.96,p<0.0001,rs=0.97,p<0.0001)。Ki-67 的标记指数的范围为 0-42%,观察者间和手动至自动分析的相关性较弱(rs=0.90,p<0.0001,rs=0.71,p<0.0008)。两种标志物均呈阳性的肿瘤区域相对面积从 0-76%不等。
免疫组织化学染色的肿瘤切片的参数映射是一种可靠的方法,可用于定量分析膜结合蛋白,并评估不同亚细胞隔室中各种肿瘤标志物的共定位。