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c-Met以及转导分子PI3K、FAK和JAK在乳腺癌中的过表达与较短生存期及新生血管形成相关。

Overexpression of c-Met and of the transducers PI3K, FAK and JAK in breast carcinomas correlates with shorter survival and neoangiogenesis.

作者信息

Garcia Stéphane, Dales Jean-Philippe, Charafe-Jauffret Emmanuelle, Carpentier-Meunier Séverine, Andrac-Meyer Lucile, Jacquemier Jocelyne, Andonian Claudine, Lavaut Marie-Noelle, Allasia Claude, Bonnier Pascal, Charpin Colette

机构信息

Department of Pathology, Centre Hospitalo-Universitaire, Hôpital Nord, Marseille, France.

出版信息

Int J Oncol. 2007 Jul;31(1):49-58.

Abstract

c-Met is responsible for cell motility and tumour spreading. c-Met expression and signal transducers reflecting c-Met functionality were investigated in breast carcinomas, in correlation with patient outcome and tumour vasculature. Tissue microarrays of 930 breast carcinomas were constructed, categorised according to patients' follow-up (4- to 10-year follow-up; median, 6.5 years). Standardised immunocytochemical procedures were performed using anti-c-Met, -PI3K, -FAK, -JAK, and -CD146, -FYN and an automated autostainer (Ventana). High-throughput densitometry measuring the extent of immunoprecipitates was assessed by image analysis (SAMBA). c-Met overexpression correlated with poor survival along with PI3K and FAK reflecting c-Met functionality and CD146 and FYN expression in endothelial cells. Automated quantification of immunocytochemical precipitates using image analysis was shown to provide an objective means of measuring cellular proteins that are potentially relevant for current practice in pathological diagnosis and for specific therapy combining inhibitors of both c-Met and downstream transducer pathways, and of tumour angiogenesis.

摘要

c-Met 负责细胞运动和肿瘤扩散。研究了乳腺癌中 c-Met 的表达以及反映 c-Met 功能的信号转导分子,并将其与患者预后和肿瘤血管生成相关联。构建了 930 例乳腺癌的组织微阵列,根据患者随访情况(4 至 10 年随访;中位数为 6.5 年)进行分类。使用抗 c-Met、-PI3K、-FAK、-JAK 和 -CD146、-FYN 以及自动免疫染色仪(Ventana)进行标准化免疫细胞化学程序。通过图像分析(SAMBA)评估测量免疫沉淀物程度的高通量光密度测定法。c-Met 过表达与生存率低相关,同时 PI3K 和 FAK 反映 c-Met 功能,内皮细胞中的 CD146 和 FYN 表达也与之相关。结果表明,使用图像分析对免疫细胞化学沉淀物进行自动定量,为测量细胞蛋白提供了一种客观方法,这些细胞蛋白可能与病理诊断的当前实践以及结合 c-Met 和下游转导途径抑制剂以及肿瘤血管生成抑制剂的特定治疗相关。

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