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非小细胞肺癌分子检测概述:EGFR的突变分析、基因拷贝数、蛋白表达及其他生物标志物用于预测酪氨酸激酶抑制剂的疗效

Overview of molecular testing in non-small-cell lung cancer: mutational analysis, gene copy number, protein expression and other biomarkers of EGFR for the prediction of response to tyrosine kinase inhibitors.

作者信息

John T, Liu G, Tsao M-S

机构信息

University Health Network, Princess Margaret Hospital Site, Ontario Cancer Institute, University of Toronto, Toronto, Ontario, Canada.

出版信息

Oncogene. 2009 Aug;28 Suppl 1:S14-23. doi: 10.1038/onc.2009.197.

DOI:10.1038/onc.2009.197
PMID:19680292
Abstract

Most patients with non-small-cell lung cancer (NSCLC) present with advanced disease. Current treatment paradigms are shifting from cytotoxic chemotherapies alone to single-agent and combination biological and targeted therapies. As patient responses to these therapies vary, predictive biomarkers will be an important facet of a patient's diagnostic workup in personalized medicine, as there is accumulating evidence that they may enable the prognostication and prediction of therapeutic response. Potential biomarkers for the selection of patients with NSCLC most likely to benefit from epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs), such as gefitinib and erlotinib, include mutations, gene copy number increase and single-nucleotide polymorphisms of the EGFR gene, EGFR protein expression and oncogenic mutation on the KRAS gene. Many techniques are available to assay for these biomarkers. In this review, we present the current weight of evidence for using these methods as biomarkers for anti-EGFR therapy in patients with NSCLC.

摘要

大多数非小细胞肺癌(NSCLC)患者就诊时已处于疾病晚期。当前的治疗模式正从单纯的细胞毒性化疗转向单药及联合生物和靶向治疗。由于患者对这些治疗的反应各不相同,预测性生物标志物将成为个性化医疗中患者诊断检查的一个重要方面,因为越来越多的证据表明它们可能有助于预后评估和治疗反应预测。用于选择最有可能从表皮生长因子受体(EGFR)酪氨酸激酶抑制剂(TKIs)(如吉非替尼和厄洛替尼)中获益的NSCLC患者的潜在生物标志物包括EGFR基因的突变、基因拷贝数增加和单核苷酸多态性、EGFR蛋白表达以及KRAS基因的致癌突变。有许多技术可用于检测这些生物标志物。在本综述中,我们阐述了将这些方法用作NSCLC患者抗EGFR治疗生物标志物的当前证据权重。

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Overview of molecular testing in non-small-cell lung cancer: mutational analysis, gene copy number, protein expression and other biomarkers of EGFR for the prediction of response to tyrosine kinase inhibitors.非小细胞肺癌分子检测概述:EGFR的突变分析、基因拷贝数、蛋白表达及其他生物标志物用于预测酪氨酸激酶抑制剂的疗效
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