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使用高通量平台对非小细胞肺癌小活检样本进行诊断性突变分析和验证。

Diagnostic Mutation Profiling and Validation of Non-Small-Cell Lung Cancer Small Biopsy Samples using a High Throughput Platform.

机构信息

Manchester Centre for Genomic Medicine, Institute of Human Development, University of Manchester and St. Mary's Hospital, Manchester, UK.

Manchester Centre for Genomic Medicine, Institute of Human Development, University of Manchester and St. Mary's Hospital, Manchester, UK.

出版信息

J Thorac Oncol. 2015 May;10(5):784-792. doi: 10.1097/JTO.0000000000000473.

DOI:10.1097/JTO.0000000000000473
PMID:25634010
Abstract

BACKGROUND

A single platform designed for the synchronous screening of multiple mutations can potentially enable molecular profiling in samples of limited tumor tissue. This approach is ideal for the assessment of advanced non-small-cell lung cancer (NSCLC) diagnostic specimens, which often comprise small biopsies. Therefore, we aimed in this study to validate the mass spectrometry-based Sequenom LungCarta panel and MassARRAY platform using DNA extracted from a single 5 μM formalin-fixed paraffin-embedded tissue section.

METHODS

Mutations, including those with an equivocal spectrum, detected in 90 cases of NSCLC (72 lung biopsies, 13 metastatic tissue biopsies, three resections, and two cytology samples) were validated by a combination of standard sequencing techniques, immunohistochemical staining for p53 protein, and next-generation sequencing with the TruSight Tumor panel.

RESULTS

Fifty-five mutations were diagnosed in 47 cases (52%) in the following genes: TP53 (22), KRAS (15), EGFR (5), MET (3), PIK3CA (3), STK11 (2), NRF-2 (2), EPHA5 (1), EPHA3 (1), and MAP2K1 (1). Of the 90 samples, one failed testing due to poor quality DNA. An additional 7 TP53 mutations were detected by next-generation sequencing, which facilitated the interpretation of p53 immunohistochemistry but required 5 × 10 μM tumor sections per sample tested.

CONCLUSIONS

The LungCarta panel is a sensitive method of screening for multiple alterations (214 mutations across 26 genes) and which optimizes the use of limited amounts of tumor DNA isolated from small specimens.

摘要

背景

一个用于同步筛查多种突变的单一平台,有可能使有限的肿瘤组织样本的分子分析成为可能。这种方法非常适合评估晚期非小细胞肺癌(NSCLC)的诊断标本,这些标本通常包含小活检。因此,我们旨在本研究中使用从单个 5μm 福尔马林固定石蜡包埋组织切片中提取的 DNA 来验证基于质谱的 Sequenom LungCarta 面板和 MassARRAY 平台。

方法

使用标准测序技术、p53 蛋白免疫组织化学染色和 TruSight Tumor 面板进行下一代测序,对 90 例 NSCLC(72 例肺活检、13 例转移组织活检、3 例切除和 2 例细胞学样本)中的突变进行验证,包括具有不确定谱的突变。

结果

47 例(52%)病例中诊断出 55 种突变,涉及以下基因:TP53(22)、KRAS(15)、EGFR(5)、MET(3)、PIK3CA(3)、STK11(2)、NRF-2(2)、EPHA5(1)、EPHA3(1)和 MAP2K1(1)。在 90 个样本中,有一个由于 DNA 质量差而导致测试失败。通过下一代测序检测到另外 7 个 TP53 突变,这有助于解释 p53 免疫组织化学,但需要每个测试样本 5×10μm 肿瘤切片。

结论

LungCarta 面板是一种筛选多种改变的敏感方法(26 个基因中的 214 个突变),并优化了从小标本中分离的有限量肿瘤 DNA 的利用。

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