Kommoss F, Bibbo M, Colley M, Dytch H E, Franklin W A, Holt J A, Wied G L
Department of Pathology, University of Chicago, Illinois.
Anal Quant Cytol Histol. 1989 Oct;11(5):298-306.
Frozen sections of 30 breast carcinomas were stained for progesterone receptors (PRs) using a rat monoclonal primary antibody and an alkaline phosphatase-antialkaline phosphatase technique. The micro-TICAS image analysis system was used for evaluation of the staining, with the results obtained by image analysis compared with the results of biochemical assays for PR. Strong positive/negative concordance (90%) was observed between the immunohistochemical and biochemical assays. However, the numerical values of the positive cases in the two assays did not correlate well, possibly because the biochemical assay does not take tumor cellularity into account. Three PR distribution patterns, designated A, B and C, were identified by image analysis among the breast tumors. In the type A pattern, tumor cell nuclei were diffusely and uniformly labeled. In type B, both clearly negative as well as distinctly positive cells were present. In type C tumors, a broad range of labeling reactions (from negative to intensely positive) was observed. These results imply (1) that the PR content of human breast carcinoma may be accurately and objectively assessed by the image analysis of immunohistochemically stained frozen sections, (2) that image analysis may provide a more accurate estimate of the cellular content of PR than do biochemical assays and (3) that PR distribution patterns obtained through image analysis permit the consistent appraisal of intratumoral heterogeneity of PR expression, which is potentially of prognostic importance.
采用大鼠单克隆一抗和碱性磷酸酶 - 抗碱性磷酸酶技术,对30例乳腺癌冰冻切片进行孕激素受体(PRs)染色。使用微TICAS图像分析系统评估染色情况,并将图像分析结果与PR的生化检测结果进行比较。免疫组化和生化检测之间观察到强阳性/阴性一致性(90%)。然而,两种检测中阳性病例的数值相关性不佳,可能是因为生化检测未考虑肿瘤细胞密度。通过图像分析在乳腺肿瘤中识别出三种PR分布模式,分别命名为A、B和C。在A型模式中,肿瘤细胞核被弥漫性和均匀性标记。在B型中,既有明显阴性的细胞,也有明显阳性的细胞。在C型肿瘤中,观察到广泛的标记反应(从阴性到强阳性)。这些结果表明:(1)通过免疫组化染色冰冻切片的图像分析可以准确客观地评估人乳腺癌的PR含量;(2)图像分析可能比生化检测更准确地估计PR的细胞含量;(3)通过图像分析获得的PR分布模式能够对PR表达的瘤内异质性进行一致的评估,这可能具有预后重要性。