Tolgay Ocal Idris, Dolled-Filhart Marisa, D'Aquila Thomas G, Camp Robert L, Rimm David L
Department of Pathology, Yale University School of Medicine, New Haven, Connecticut 06510, USA.
Cancer. 2003 Apr 15;97(8):1841-8. doi: 10.1002/cncr.11335.
It has been shown that receptor tyrosine kinases (RTKs) predict outcome in patients with breast carcinoma. Although RTKs are a large family, HER-2, epidermal growth factor receptor (EGFR), Met (hepatocyte growth factor receptor), and others all have shown the ability to predict outcome. However, it remains unclear whether these markers are defining the same subpopulation of patients with breast carcinoma. In this study, the authors attempted to determine the correlation between RTKs on the basis of their ability to stratify a population according to outcome.
The authors used tissue microarray technology to study 324 patients with lymph node negative breast carcinoma who had 20-40 years of follow-up. Expression was assessed using immunohistochemical stains for Met, EFGR, fibroblast growth factor receptor (FGFR), and HER-2. Expression levels were assessed by two observers, and correlations were analyzed. Standard pathology information, including tumor size, nuclear grade, Ki-67 receptor status, and estrogen and progesterone receptor expression levels, also was collected.
RTK expression in the study cohort revealed two strong correlations. Specifically, HER-2 and EGFR showed similar expression patterns (P < 0.0001), and Met cytoplasmic domain and FGFR cytoplasmic staining showed similar expression patterns (P < 0.0001), but no correlation was found between the two groups. Of these RTKs, only high levels of Met cytoplasmic domain showed significance as a prognostic marker defining a shortened survival compared with the rest of the population (P = 0.0035; relative risk, 2.04). In the same group of patients, HER-2, hormone receptor status, and other RTK family receptors were not correlated with outcome. In multivariate analysis, only Met cytoplasmic domain and tumor size showed independent predictive value.
The current results indicate that the cytoplasmic domain of Met shows a unique staining pattern and defines a set of patients unique from the set of patients defined by overexpression of HER-2, EGFR, or hormone receptors. Furthermore, this group of patients is associated tightly and independently with worse outcome.
研究表明,受体酪氨酸激酶(RTK)可预测乳腺癌患者的预后。尽管RTK是一个大家族,但HER-2、表皮生长因子受体(EGFR)、Met(肝细胞生长因子受体)等均显示出预测预后的能力。然而,这些标志物是否定义了相同的乳腺癌患者亚群仍不清楚。在本研究中,作者试图根据RTK对人群进行预后分层的能力来确定它们之间的相关性。
作者使用组织芯片技术研究了324例淋巴结阴性乳腺癌患者,这些患者有20至40年的随访数据。使用免疫组化染色评估Met、EFGR、成纤维细胞生长因子受体(FGFR)和HER-2的表达。由两名观察者评估表达水平,并进行相关性分析。还收集了标准病理信息,包括肿瘤大小、核分级、Ki-67受体状态以及雌激素和孕激素受体表达水平。
研究队列中的RTK表达显示出两种强相关性。具体而言,HER-2和EGFR显示出相似的表达模式(P < 0.0001),Met胞质结构域和FGFR胞质染色显示出相似的表达模式(P < 0.0001),但两组之间未发现相关性。在这些RTK中,只有高水平的Met胞质结构域作为预后标志物显示出与其余人群相比生存期缩短的显著性(P = 0.0035;相对风险,2.04)。在同一组患者中,HER-2、激素受体状态和其他RTK家族受体与预后无关。在多变量分析中,只有Met胞质结构域和肿瘤大小显示出独立的预测价值。
目前的结果表明,Met的胞质结构域显示出独特的染色模式,并定义了一组与由HER-2、EGFR过表达或激素受体定义的患者不同的患者群体。此外,这组患者与更差的预后紧密且独立相关。