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使用单分子扩增和重测序技术对非小细胞肺癌中的致癌突变进行全面分析和定量。

Comprehensive profiling and quantitation of oncogenic mutations in non small-cell lung carcinoma using single molecule amplification and re-sequencing technology.

作者信息

Zhang Shirong, Xia Bing, Jiang Hong, Wang Limin, Xu Rujun, Shi Yanbin, Zhang Jianguang, Xu Mengnan, Cram David S, Ma Shenglin

机构信息

Department of Oncology, Hangzhou First People's Hospital, Nanjing Medical University, Zhejiang, Hangzhou 310006, China.

Berry Genomics Corporation, Beijing 100015, China.

出版信息

Oncotarget. 2016 Aug 2;7(31):50477-50489. doi: 10.18632/oncotarget.10464.

Abstract

Activating and resistance mutations in the tyrosine kinase domain of several oncogenes are frequently associated with non-small cell lung carcinoma (NSCLC). In this study we assessed the frequency, type and abundance of EGFR, KRAS, BRAF, TP53 and ALK mutations in tumour specimens from 184 patients with early and late stage disease using single molecule amplification and re-sequencing technology (SMART). Based on modelling of EGFR mutations, the detection sensitivity of the SMART assay was at least 0.1%. Benchmarking EGFR mutation detection against the gold standard ARMS-PCR assay, SMART assay had a sensitivity and specificity of 98.7% and 99.0%. Amongst the 184 samples, EGFR mutations were the most prevalent (59.9%), followed by KRAS (16.9%), TP53 (12.7%), EML4-ALK fusions (6.3%) and BRAF (4.2%) mutations. The abundance and types of mutations in tumour specimens were extremely heterogeneous, involving either monoclonal (51.6%) or polyclonal (12.6%) mutation events. At the clinical level, although the spectrum of tumour mutation(s) was unique to each patient, the overall patterns in early or advanced stage disease were relatively similar. Based on these findings, we propose that personalized profiling and quantitation of clinically significant oncogenic mutations will allow better classification of patients according to tumour characteristics and provide clinicians with important ancillary information for treatment decision-making.

摘要

几种癌基因酪氨酸激酶结构域中的激活突变和耐药突变常与非小细胞肺癌(NSCLC)相关。在本研究中,我们使用单分子扩增和重测序技术(SMART)评估了184例早期和晚期疾病患者肿瘤标本中EGFR、KRAS、BRAF、TP53和ALK突变的频率、类型和丰度。基于EGFR突变的模型,SMART检测的灵敏度至少为0.1%。以金标准ARMS-PCR检测为基准进行EGFR突变检测,SMART检测的灵敏度和特异性分别为98.7%和99.0%。在184个样本中,EGFR突变最为常见(59.9%),其次是KRAS(16.9%)、TP53(12.7%)、EML4-ALK融合(6.3%)和BRAF(4.2%)突变。肿瘤标本中突变的丰度和类型极其不均一,涉及单克隆(51.6%)或多克隆(12.6%)突变事件。在临床层面,尽管每位患者的肿瘤突变谱都是独特的,但早期或晚期疾病的总体模式相对相似。基于这些发现,我们建议对具有临床意义的致癌突变进行个性化分析和定量,这将有助于根据肿瘤特征对患者进行更好的分类,并为临床医生提供重要的辅助信息以用于治疗决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf4/5226597/450228643b78/oncotarget-07-50477-g001.jpg

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