PO.CL01.09 · 临床研究
采用高度多重化USE-PCR并整合定制靶点对黑色素瘤进行纵向ctDNA监测,可实时检测治疗反应与复发
Longitudinal ctDNA monitoring in melanoma using highly multiplexed USE-PCR incorporating bespoke targets enables real-time detection of treatment response and recurrence
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
目的:循环肿瘤DNA(ctDNA)是实时监测治疗反应与复发的一种有前景的生物标志物,但当前基于测序的检测受限于成本、周转时间(TAT)、在困难区域的性能以及采样频率。通用信号编码PCR(USE-PCR)是一种高度多重化的数字PCR化学技术,每个反应可测量>30个肿瘤知情靶点。我们在一个具有密集连续采样的黑色素瘤纵向队列中评估了其性能。
方法:肿瘤/ctDNA测序鉴定出受试者特异性变异,包括具有挑战性的GC富集位点,如TERT c.-124C>T。使用Apollo(一种基于云的自动化工作流程)设计了多重化、肿瘤特异性的USE-PCR panel。这些panel可灵活整合额外靶点,并与低释放ctDNA兼容。从8名黑色素瘤受试者高密度采集血浆cfDNA及匹配的PBMC样本(每位患者在约2年内多达20个时间点)。在商用dPCR平台上定量血浆ctDNA VAF轨迹(经PBMC校正),并与临床病程及治疗事件进行比较。分析验证包括灵敏度、精密度、线性、特异性、跨平台性能,以及在低DNA投入量(<10 ng)下的稳健性。
结果:USE-PCR检测到不同的分子表型,包括明确的治疗反应(VAF快速下降)、分子复发(约80天内VAF从0→5%→15%)、疾病稳定(VAF约0),以及具有靶点特异性波动的混合反应,后者常先于临床进展或治疗调整。每名受试者平均可测量四个变异。以约20天间隔采样揭示了ctDNA中快速、低水平的变化,包括VAF<0.2%的亚克隆SNV,这是每季度监测无法实现的。在≤14个SNV靶点下检测可靠地低至80 ppm,具有强精密度(CV<15%)及跨4个对数量级的线性。该平台在GC富集及历来困难的NGS靶点(包括TERT启动子)上稳健,在低cfDNA投入量(<10 ng)下维持性能,并允许无缝添加新变异(如BRAF V600E/K、NRAS Q61)用于纵向监测。
结论:USE-PCR是一个快速(中位TAT<6小时)、低成本且高度可扩展的肿瘤知情ctDNA监测平台,可实现高度多重化、与困难基因组位点的兼容性,以及适用于实时临床管理的频繁采样。高密度纵向数据揭示了与疾病活动相符的分子模式,支持将USE-PCR用于动态治疗反应评估与复发监测。更大队列的处理正在进行中,以支持前瞻性临床验证。
查看英文原文 English abstract
Purpose: Circulating tumor DNA (ctDNA) is a promising biomarker for real-time monitoring of treatment response and recurrence, but current sequencing-based assays are limited by cost, TAT, performance on difficult regions, and sampling frequency. Universal Signal Encoding PCR (USE-PCR) is a highly multiplexed digital PCR chemistry that enables >30 tumor-informed targets to be measured per reaction. We evaluated its performance in a longitudinal melanoma cohort with dense serial sampling.
Methods: Tumor/ctDNA sequencing identified subject-specific variants, including challenging GC-rich loci such as TERT c.-124C>T. Multiplexed, tumor-specific USE-PCR panels were designed using Apollo, an automated cloud-based workflow. Panels flexibly incorporated additional targets and were compatible with low-shedding ctDNA. Plasma cfDNA and matching PBMC samples were collected from 8 melanoma subjects at high density (up to 20 timepoints per patient over ~2 years). Plasma ctDNA VAF trajectories, corrected for PBMC, were quantified on a commercial dPCR platform and compared with clinical course and treatment events. Analytical validation included sensitivity, precision, linearity, specificity, cross-platform performance, and robustness with low DNA input (<10 ng).
Results: USE-PCR detected distinct molecular phenotypes including clear treatment response (rapid VAF decline), molecular recurrence (0→5%→15% VAF within ~80 days), stable disease (VAF ~0), and mixed responses with target-specific fluctuations often preceding clinical progression or therapy change. An average of four variants were measurable per subject. Sampling at ~20-day intervals uncovered rapid, low-level shifts in ctDNA, including subclonal SNVs at <0.2% VAF, not achievable with quarterly surveillance. Detection was reliable down to 80 ppm with ≤14 SNV targets, strong precision (CV <15%), and linearity over 4 logs. The platform was robust on GC-rich and historically difficult NGS targets, including the TERT promoter, maintained performance with low cfDNA input (<10 ng), and allowed seamless addition of new variants (e.g. BRAF V600E/K, NRAS Q61) for longitudinal monitoring.
Conclusions: USE-PCR is a rapid (median TAT < 6 hrs), low-cost, and highly scalable platform for tumor-informed ctDNA monitoring, enabling high multiplexing, compatibility with difficult genomic loci, and frequent sampling suitable for real-time clinical management. High-density longitudinal data reveal molecular patterns aligned with disease activity supporting USE-PCR for dynamic treatment response assessment and recurrence monitoring. Processing of a larger cohort is in progress to enable prospective clinical validation.
利益披露 Disclosure
H. Miller, None..
A. Fischer, None..
M. Hall, None..
M. E. Egger, None..
K. Yaddanapudi, None.
L. Jacky,
ChromaCode, Inc Employment, Stock Option, Patent.
J. Alvarado,
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M. Linder,
ChromaCode, Inc. ).