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本文引用的文献

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Rapid targeted mutational analysis of human tumours: a clinical platform to guide personalized cancer medicine.快速靶向突变分析人类肿瘤:指导个体化癌症治疗的临床平台。
EMBO Mol Med. 2010 May;2(5):146-58. doi: 10.1002/emmm.201000070.
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Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1.整合基因组分析确定了具有 PDGFRA、IDH1、EGFR 和 NF1 异常的胶质母细胞瘤的临床相关亚型。
Cancer Cell. 2010 Jan 19;17(1):98-110. doi: 10.1016/j.ccr.2009.12.020.
3
Two multiplex assays that simultaneously identify 22 possible mutation sites in the KRAS, BRAF, NRAS and PIK3CA genes.两种多重分析检测试剂盒,可同时鉴定 KRAS、BRAF、NRAS 和 PIK3CA 基因中 22 个可能的突变位点。
PLoS One. 2010 Jan 21;5(1):e8802. doi: 10.1371/journal.pone.0008802.
4
Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (WJTOG3405): an open label, randomised phase 3 trial.吉非替尼对比顺铂联合多西他赛用于治疗表皮生长因子受体突变的非小细胞肺癌患者(WJTOG3405):一项开放标签、随机对照 3 期临床试验。
Lancet Oncol. 2010 Feb;11(2):121-8. doi: 10.1016/S1470-2045(09)70364-X. Epub 2009 Dec 18.
5
COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer.COSMIC(癌症体细胞突变目录):一个用于研究人类癌症中获得性突变的资源。
Nucleic Acids Res. 2010 Jan;38(Database issue):D652-7. doi: 10.1093/nar/gkp995. Epub 2009 Nov 11.
6
Personalized cancer therapy with selective kinase inhibitors: an emerging paradigm in medical oncology.个体化癌症治疗与选择性激酶抑制剂:医学肿瘤学的新兴范例。
J Clin Oncol. 2009 Nov 20;27(33):5650-9. doi: 10.1200/JCO.2009.22.9054. Epub 2009 Oct 26.
7
Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma.吉非替尼或卡铂-紫杉醇用于治疗肺腺癌。
N Engl J Med. 2009 Sep 3;361(10):947-57. doi: 10.1056/NEJMoa0810699. Epub 2009 Aug 19.
8
An integrated genomic analysis of lung cancer reveals loss of DUSP4 in EGFR-mutant tumors.肺癌的综合基因组分析揭示了EGFR突变肿瘤中双特异性磷酸酶4(DUSP4)的缺失。
Oncogene. 2009 Aug 6;28(31):2773-83. doi: 10.1038/onc.2009.135. Epub 2009 Jun 15.
9
Cancer statistics, 2009.2009年癌症统计数据。
CA Cancer J Clin. 2009 Jul-Aug;59(4):225-49. doi: 10.3322/caac.20006. Epub 2009 May 27.
10
Predicting drug susceptibility of non-small cell lung cancers based on genetic lesions.基于基因损伤预测非小细胞肺癌的药物敏感性
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一种用于快速检测非小细胞肺癌中与靶向治疗相关的多种致癌突变的平台。

A platform for rapid detection of multiple oncogenic mutations with relevance to targeted therapy in non-small-cell lung cancer.

机构信息

Vanderbilt-Ingram Cancer Center, the Department of Medicine/Division of Hematology-Oncology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.

出版信息

J Mol Diagn. 2011 Jan;13(1):74-84. doi: 10.1016/j.jmoldx.2010.11.010. Epub 2010 Dec 23.

DOI:10.1016/j.jmoldx.2010.11.010
PMID:21227397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3070558/
Abstract

The identification of somatically acquired tumor mutations is increasingly important in the clinical management of cancer because the sensitivity of targeted drugs is related to the genetic makeup of individual tumors. Thus, mutational profiles of tumors can help prioritize anticancer therapy. We report herein the development and validation of two multiplexed assays designed to detect in DNA from FFPE tissue more than 40 recurrent mutations in nine genes relevant to existing and emerging targeted therapies in lung cancer. The platform involves two methods: a screen (SNaPshot) based on multiplex PCR, primer extension, and capillary electrophoresis that was designed to assess for 38 somatic mutations in eight genes (AKT1, BRAF, EGFR, KRAS, MEK1, NRAS, PIK3CA, and PTEN) and a PCR-based sizing assay that assesses for EGFR exon 19 deletions, EGFR exon 20 insertions, and HER2 exon 20 insertions. Both the SNaPshot and sizing assays can be performed rapidly, with minimal amounts of genetic material. Compared with direct sequencing, in which mutant DNA needs to compose 25% or more of the total DNA to easily detect a mutation, the SNaPshot and sizing assays can detect mutations in samples in which mutant DNA composes 1.56% to 12.5% and 1.56% to 6.25% of the total DNA, respectively. These robust, reliable, and relatively inexpensive assays should help accelerate adoption of a genotype-driven approach in the treatment of lung cancer.

摘要

越来越多的体细胞获得性肿瘤突变的鉴定在癌症的临床管理中变得越来越重要,因为靶向药物的敏感性与个体肿瘤的遗传构成有关。因此,肿瘤的突变谱可以帮助确定抗癌治疗的优先次序。我们在此报告两种多重检测方法的开发和验证,这些方法旨在检测来自 FFPE 组织的 DNA 中与肺癌中现有和新兴靶向治疗相关的九个基因中的 40 多个复发性突变。该平台涉及两种方法:一种基于多重 PCR、引物延伸和毛细管电泳的筛选(SNaPshot),旨在评估 38 个体细胞突变,涉及八个基因(AKT1、BRAF、EGFR、KRAS、MEK1、NRAS、PIK3CA 和 PTEN),以及一种用于评估 EGFR 外显子 19 缺失、EGFR 外显子 20 插入和 HER2 外显子 20 插入的基于 PCR 的定量分析。SNaPshot 和定量分析都可以快速进行,需要的遗传物质很少。与直接测序相比,在直接测序中,需要突变 DNA 组成总 DNA 的 25%或更多才能容易地检测到突变,SNaPshot 和定量分析可以在突变 DNA 组成总 DNA 的 1.56%至 12.5%和 1.56%至 6.25%的样本中检测到突变。这些强大、可靠且相对便宜的检测方法应该有助于加速采用基于基因型的方法治疗肺癌。