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采用下一代测序技术对软组织肉瘤进行分子谱分析:迈向精准治疗的初步研究。

Molecular profiling of soft tissue sarcomas using next-generation sequencing: a pilot study toward precision therapeutics.

机构信息

University of Washington Medical Center, Department of Anatomic Pathology, Seattle, WA, 98195, USA.

University of Washington Medical Center, Department of Laboratory Medicine Seattle, WA, 98195, USA.

出版信息

Hum Pathol. 2014 Aug;45(8):1563-71. doi: 10.1016/j.humpath.2014.04.012. Epub 2014 Apr 24.

Abstract

Next-generation sequencing (NGS) can provide in-depth detection of numerous gene alterations. To date, there are very few reports describing the use of this technique in soft tissue sarcomas. Herein, we aim to test the utility of NGS in identifying targetable mutations in these tumors. NGS was performed using a clinically validated multiplexed gene sequencing panel interrogating the full coding sequence of 194 cancer-related genes. A custom bioinformatics pipeline was developed to detect all classes of mutations directly from the NGS data, including single-nucleotide variants, small insertions and deletions, copy number variation, and complex structural variations. Twenty-five soft tissue sarcomas were analyzed; 18 of these patients had metastatic disease and 7 primary locally advanced tumors. Targetable mutations for which clinical trials are available were identified in 60% of the cases. MAP2K4, AURKA, AURKB, and c-MYC amplification were recurrent events in leiomyosarcomas. Frequent non-targetable variants included copy losses of the TP53 (24%), PTEN (16%), and CDKN2A (20%). Additional frameshift mutations, deletion mutations, and single-nucleotide variants involving numerous genes, including RB1, NOTCH1, PIK3CA, PDGFRB, EPHA5, KDM6A, NF1, and FLT4 genes, were also identified. NGS is useful in identifying targetable mutations in soft tissue sarcomas that can serve as a rationale for inclusion of patients with advanced disease in ongoing clinical trials and allow for better risk stratification.

摘要

下一代测序(NGS)可以深入检测许多基因改变。迄今为止,很少有报道描述该技术在软组织肉瘤中的应用。在此,我们旨在测试 NGS 在识别这些肿瘤中可靶向突变的实用性。使用经过临床验证的多重基因测序panel 进行 NGS 检测,该 panel 可检测 194 个与癌症相关基因的全长编码序列。开发了一个自定义的生物信息学管道,可直接从 NGS 数据中检测所有类型的突变,包括单核苷酸变异、小插入和缺失、拷贝数变异和复杂结构变异。分析了 25 例软组织肉瘤;其中 18 例患者患有转移性疾病,7 例为原发性局部晚期肿瘤。在 60%的病例中确定了有临床试验的可靶向突变。MAP2K4、AURKA、AURKB 和 c-MYC 扩增是平滑肌肉瘤的常见事件。频繁的非靶向变异包括 TP53(24%)、PTEN(16%)和 CDKN2A(20%)的拷贝缺失。还鉴定了涉及 RB1、NOTCH1、PIK3CA、PDGFRB、EPHA5、KDM6A、NF1 和 FLT4 等众多基因的额外移码突变、缺失突变和单核苷酸变异。NGS 可用于识别软组织肉瘤中的可靶向突变,这些突变可作为将晚期疾病患者纳入正在进行的临床试验的依据,并允许更好地进行风险分层。

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