Sampietro G, Tomasic G, Collini P, Biganzoli E, Boracchi P, Bidoli P, Pilotti S
Division of Anatomical Pathology, Istituto Nazionale Tumori, Milan, Italy.
Appl Immunohistochem Mol Morphol. 2000 Mar;8(1):49-56.
Fifty-three neuroendocrine lung tumors (24 carcinoids, one atypical carcinoid, five large-cell neuroendocrine carcinomas, and 23 small-cell lung carcinomas) were investigated for immunocytochemical expression of several gene products, i.e., p53, Rb, bcl-2, c-kit, mdm-2, cdk-4, p21 proteins, and proliferation index as assessed by MIB-1. The goal of the study was to explore the relationships between histotypes in light of their own gene product-based immunophenotypical profiles. To this aim we applied the multiple correspondence analysis, which is an exploratory statistical multivariate technique that converts a data matrix into a particular type of graphic display in which the rows and columns are depicted as points. Such statistical analysis displayed that some categories of the gene product-based immunophenotyping variables are grouped in the plot identifying three groups: the first group related to carcinoids, the second to small-cell carcinomas, and the third to large-cell neuroendocrine carcinomas. These data support the evidence that carcinoids and small-cell carcinomas are two distinct, apparently immunogenotypically unrelated entities among neuroendocrine lung tumors and that atypical carcinoids and large-cell neuroendocrine carcinomas seem not to represent intermediate steps between them.
对53例神经内分泌肺肿瘤(24例类癌、1例不典型类癌、5例大细胞神经内分泌癌和23例小细胞肺癌)进行了研究,检测了几种基因产物即p53、Rb、bcl-2、c-kit、mdm-2、cdk-4、p21蛋白的免疫细胞化学表达,并通过MIB-1评估增殖指数。本研究的目的是根据基于基因产物的免疫表型特征来探讨组织学类型之间的关系。为此,我们应用了多重对应分析,这是一种探索性统计多变量技术,可将数据矩阵转换为一种特殊类型的图形显示,其中行和列被描绘为点。这种统计分析显示,基于基因产物的免疫表型变量的某些类别在图中聚为三组:第一组与类癌相关,第二组与小细胞癌相关,第三组与大细胞神经内分泌癌相关。这些数据支持了以下证据:在神经内分泌肺肿瘤中,类癌和小细胞癌是两个不同的、明显在免疫基因分型上不相关的实体,并且不典型类癌和大细胞神经内分泌癌似乎不代表它们之间的中间阶段。