Vanderbilt-Ingram Cancer Center, the Department of Medicine/Division of Hematology-Oncology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
J Mol Diagn. 2011 Jan;13(1):74-84. doi: 10.1016/j.jmoldx.2010.11.010. Epub 2010 Dec 23.
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.
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。