PO.CL01.20 · 临床研究

TruSight Oncology Comprehensive用于检测和报告临床相关突变的验证

Validation of TruSight Oncology Comprehensive for detecting and reporting clinically relevant mutations

海报缩略图:TruSight Oncology Comprehensive用于检测和报告临床相关突变的验证
编号 3819 展板 3 时间 4/20 02:00–05:00 区域 Section 44 主讲 Mauro Chavez
分会场 Diagnostic Biomarkers 1
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作者与单位 Authors & Affiliations

Mauro Chavez, Silvia Chan, Stewart Comer, Gajalakshmi Dakshinamoorthy, Dan Schmidt, Giang Howard, Lisa Tulathimutte, Martin Martchovsky, Carey Davis, Eileen de Feo, Denise Perry

Illumina Lab Services, Illumina, Inc., San Diego, CA

摘要 Abstract

中文摘要
全面基因组分析(CGP)通过在单次检测中实现对广泛可操作生物标志物和免疫治疗反应特征的检测,正在变革癌症诊断。TruSight Oncology Comprehensive(TSO Comp)是一种定性体外诊断检测,在一个整合的工作流程中评估福尔马林固定石蜡包埋(FFPE)组织的DNA和RNA,并分析517个具有已知临床相关性的癌症相关基因。本研究通过开展准确性、分析特异性和精密度(批间和批内重复性)研究,展示了带有附加实验室自建检测(LDT)声明的TSO Comp的验证和确认。使用19种细胞系、人工配制和Seraseq®参考物质以及41份临床样本评估了检测性能,以检测以下变异类别:小变异(SNVs、MNVs和插入缺失)、融合/剪接变异、肿瘤突变负荷(TMB)、拷贝数变异(CNVs)和微卫星不稳定性(MSI)。后两者以及另外31个融合和两个额外剪接变异作为LDT的一部分进行了验证。总体而言,本研究对小变异的阳性符合率(PPA)达到99.4%,阴性符合率(NPA)超过99.9%。在17个CNVs、41个融合/剪接变异和两个MSI阳性中估计PPA为100%。此外,在所有针对CNV、融合/剪接变异和MSI状态评估的样本中估计NPA为100%。参考结果与TSO Comp之间的TMB评分高度相关,R² = 0.97。CNVs的检出限(LoD)在跨四份临床样本的五次重复测量中,对≥2.6倍变化(即5个拷贝)的基因扩增实现了100%的检出率。使用三种带重复的人工配制细胞系确立了MSI的20%肿瘤含量LoD。此外,23份健康供者样本对CNV和MSI实现了100%的分析特异性。在九份临床样本和一份带重复的Seraseq参考物质中,所有变异和MSI状态实现了≥98.8%的批间和批内一致性。本研究展示了TSO Comp如何能够作为LDT扩展以纳入额外的变异声明,具有高灵敏度和特异性,同时保持对CGP FFPE核心癌症突变的临床解读和报告。事实上,TSO Comp显著减轻了验证某些变异类别的负担(例如,研究规模至少缩减了两倍),并允许实验室随着癌症诊断知识的演进验证和报告额外的声明。
查看英文原文 English abstract
Comprehensive genomic profiling (CGP) is transforming cancer diagnostics by enabling the detection of a wide range of actionable biomarkers and immunotherapy response signatures in a single test. TruSight Oncology Comprehensive (TSO Comp) is a qualitative in vitro diagnostic test that evaluates both DNA and RNA from formalin-fixed, paraffin-embedded (FFPE) tissue and analyzes 517 cancer-associated genes with known clinical relevance in one integrated workflow. This study presents the verification and validation of TSO Comp with added laboratory developed test (LDT) claims by conducting accuracy, analytical specificity, and precision (inter and intra run repeatability) studies. Assay performance was assessed using 19 cell lines, contrived and Seraseq® reference materials, and 41 clinical samples to detect the following variant classes: small variants (SNVs, MNVs and indels), fusions/splice variants, Tumor Mutational Burden (TMB), Copy Number Variants (CNVs), and Microsatellite Instability (MSI). The latter two, along with 31 additional fusions and two additional splice variants, were validated as part of the LDT. Overall, the study resulted in 99.4% positive percent agreement (PPA) rates and >99.9% negative percent agreement (NPA) rates for small variants. 100% PPA was estimated across 17 CNVs, 41 fusions/splice variants, and two MSI positives. Furthermore, 100% NPA was estimated for all evaluated samples considered for CNV, fusions/splice variants, and MSI status. TMB scores between reference results and TSO Comp were highly correlated, with R 2 = 0.97. The LoD for CNVs resulted in 100% detection rates for ≥ 2.6 fold change (i.e., 5 copies) in gene amplification when measured across five replicates of four clinical samples. Three contrived cell lines with replicates were used to establish the LoD of 20% tumor content for MSI. In addition, 23 healthy donor samples resulted in 100% analytical specificity for CNV and MSI. All variants and MSI status resulted in ≥ 98.8% inter and intra runs concordance across nine clinical and one Seraseq reference material with replicates.This study demonstrates how TSO Comp can be extended to include additional variant claims with high sensitivity and specificity as an LDT while maintaining clinical interpretation and reporting of cancer mutations central to the CGP of FFPE. Indeed, TSO Comp significantly reduces the burden of validating certain variant classes (e.g. study size was reduced by a minimum factor of two) and allows laboratories to validate and report on additional claims as cancer diagnostics knowledge evolves.
利益披露 Disclosure
M. Chavez, Illumina, Inc Employment. S. Chan, Illumina, Inc. Employment. S. Comer, Illumina, Inc. Employment. G. Dakshinamoorthy, Illumina, Inc. Former Employee. D. Schmidt, Illumina, Inc. Employment. G. Howard, Illumina, Inc. Employment. L. Tulathimutte, Illumina, Inc. Employment. M. Martchovsky, Illumina, Inc. Employment. C. Davis, Illumina, Inc Employment. E. de Feo, Illumina, Inc. Employment. D. Perry, Illumina, Inc. Employment.

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