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21807 例晚期癌症患者的游离循环肿瘤 DNA 中可操作基因组改变的全景分析。

The Landscape of Actionable Genomic Alterations in Cell-Free Circulating Tumor DNA from 21,807 Advanced Cancer Patients.

机构信息

Guardant Health, Inc., Redwood City, California.

University of California Davis Comprehensive Cancer Center, Sacramento, California.

出版信息

Clin Cancer Res. 2018 Aug 1;24(15):3528-3538. doi: 10.1158/1078-0432.CCR-17-3837. Epub 2018 May 18.

Abstract

Cell-free DNA (cfDNA) sequencing provides a noninvasive method for obtaining actionable genomic information to guide personalized cancer treatment, but the presence of multiple alterations in circulation related to treatment and tumor heterogeneity complicate the interpretation of the observed variants. We describe the somatic mutation landscape of 70 cancer genes from cfDNA deep-sequencing analysis of 21,807 patients with treated, late-stage cancers across >50 cancer types. To facilitate interpretation of the genomic complexity of circulating tumor DNA in advanced, treated cancer patients, we developed methods to identify cfDNA copy-number driver alterations and cfDNA clonality. Patterns and prevalence of cfDNA alterations in major driver genes for non-small cell lung, breast, and colorectal cancer largely recapitulated those from tumor tissue sequencing compendia (The Cancer Genome Atlas and COSMIC; = 0.90-0.99), with the principal differences in alteration prevalence being due to patient treatment. This highly sensitive cfDNA sequencing assay revealed numerous subclonal tumor-derived alterations, expected as a result of clonal evolution, but leading to an apparent departure from mutual exclusivity in treatment-naïve tumors. Upon applying novel cfDNA clonality and copy-number driver identification methods, robust mutual exclusivity was observed among predicted truncal driver cfDNA alterations (FDR = 5 × 10 for and ), in effect distinguishing tumor-initiating alterations from secondary alterations. Treatment-associated resistance, including both novel alterations and parallel evolution, was common in the cfDNA cohort and was enriched in patients with targetable driver alterations (>18.6% patients). Together, these retrospective analyses of a large cfDNA sequencing data set reveal subclonal structures and emerging resistance in advanced solid tumors. .

摘要

无细胞 DNA(cfDNA)测序为获取指导个体化癌症治疗的可操作基因组信息提供了一种非侵入性方法,但与治疗和肿瘤异质性相关的循环中多种改变使观察到的变异的解释变得复杂。我们描述了来自 21,807 例经过治疗的晚期癌症患者 cfDNA 深度测序分析的 70 个癌症基因的体细胞突变图谱,这些患者涉及超过 50 种癌症类型。为了促进解释晚期治疗癌症患者循环肿瘤 DNA 的基因组复杂性,我们开发了识别 cfDNA 拷贝数驱动改变和 cfDNA 克隆性的方法。非小细胞肺癌、乳腺癌和结直肠癌主要驱动基因 cfDNA 改变的模式和流行率在很大程度上与肿瘤组织测序汇编(The Cancer Genome Atlas 和 COSMIC; = 0.90-0.99)一致,改变流行率的主要差异是由于患者的治疗。这种高度敏感的 cfDNA 测序检测方法揭示了许多亚克隆肿瘤衍生的改变,这是克隆进化的结果,但导致治疗前肿瘤中明显偏离相互排斥。应用新的 cfDNA 克隆性和拷贝数驱动鉴定方法后,在预测的主干驱动 cfDNA 改变中观察到稳健的相互排斥(FDR = 5 × 10 用于和 ),实际上区分了肿瘤起始改变和次要改变。在 cfDNA 队列中,治疗相关的耐药性(包括新的改变和并行进化)很常见,并且在具有可靶向驱动改变的患者中更为丰富(>18.6%的患者)。这些对大型 cfDNA 测序数据集的回顾性分析一起揭示了晚期实体瘤中的亚克隆结构和新出现的耐药性。

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