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首页> 外文期刊>Applied immunohistochemistry and molecular morphology: AIMM >Epidermal growth factor receptor gene amplification and protein expression in glioblastoma multiforme: prognostic significance and relationship to other prognostic factors.
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Epidermal growth factor receptor gene amplification and protein expression in glioblastoma multiforme: prognostic significance and relationship to other prognostic factors.

机译:胶质母细胞瘤中表皮生长因子受体基因的扩增和蛋白表达:预后的意义及其与其他预后因素的关系。

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摘要

Epidermal growth factor receptor (EGFR) overexpression occurs in a significant percentage of cases of glioblastoma multiforme (GBM), and amplification has been found in approximately 40% of these neoplasms. Controversy exists as to the prognostic significance of EGFR gene amplification: some reports have indicated that amplification is associated with a poor prognosis, while other authors have reported no relationship between gene amplification and prognosis. Some reports have found a poor prognosis to be associated with amplification of the EGFR gene in patients of all ages with GBM, while other authors have found EGFR amplification to be an independent predictor of prolonged survival in patients with GBM who are older than 60 years of age. The authors studied a series of 34 specimens (32 patients) with histologically proven GBM by immunohistochemistry for the presence of EGFR overexpression and by fluorescence in situ hybridization (FISH) for gene amplification of the EGFR gene. Results of these studies and data on patient age, sex, functional status, therapy, and survival were correlated to determine which variables were predictive of survival. p53 expression was also determined by immunohistochemistry and correlated with the other variables and survival.
机译:表皮生长因子受体(EGFR)过度表达发生在多形性胶质母细胞瘤(GBM)的病例中,并且在这些肿瘤中约40%发现了扩增。关于EGFR基因扩增的预后意义存在争议:一些报道表明扩增与不良预后相关,而其他作者则报道基因扩增与预后之间没有关系。一些报告发现,在所有年龄段的GBM患者中,不良的预后都与EGFR基因的扩增有关,而另一些作者发现,EGFR扩增是60岁以上GBM患者长寿的独立预测因子。年龄。作者通过免疫组织化学方法研究了34份经组织学证实为GBM的标本(32例),以检查是否存在EGFR过表达,并通过荧光原位杂交(FISH)进行EGFR基因的基因扩增。这些研究的结果以及有关患者年龄,性别,功能状态,治疗方法和生存率的数据相关联,以确定哪些变量可以预测生存率。 p53表达也通过免疫组织化学确定,并与其他变量和存活率相关。

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