PO.CL01.11 · 临床研究

通过全面的结构变异图谱分析在实体瘤和血液系统恶性肿瘤中实现超敏MRD检测

Ultra-sensitive MRD detection through comprehensive structural variant profiling in solid and hematologic malignancies

编号 7825 展板 6 时间 4/22 09:00–12:00 区域 Section 45 主讲 Feng Xie
分会场 Liquid Biopsies: Circulating Nucleic Acids 5
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作者与单位 Authors & Affiliations

Kemin Zhou, Yong Huang, Abby He, Junmei Wang, Binggang Xiang, Xiaohong Wang, Pan Du

Predicine Inc, Hayward, CA

摘要 Abstract

中文摘要
背景:结构变异(SVs),包括融合、易位、大片段插入/缺失、倒位和重复,是高度肿瘤特异性的基因组事件,也是分子残留疾病(MRD)评估的有力生物标志物。使用短读长测序检测伙伴未知的SVs仍具挑战性,尤其是在超低变异分数下。我们开发了Predicine DeepSEA SV检测算法,以实现对组织和血浆中多类SVs的全面发现与灵敏追踪。 方法:Predicine DeepSEA整合了de novo组装、基于BWA的精细重比对、片段水平分子定量,以及分裂读长和配对读长联合证据,从而高准确度地检测并分类五种SV亚型。该工作流程应用于30例实体瘤或血液系统恶性肿瘤患者的肿瘤组织及配对的纵向血浆样本。PredicineBEACON MRD检测纳入了通过对高肿瘤分数(>20% TF)基线样本进行全基因组测序所鉴定的体细胞SV断点。随后设计个体化的基于SV的panel用于靶向MRD追踪。分析灵敏度通过滴定实验进行评估,其中将患者来源的cfDNA以确定的稀释度加标到健康供者cfDNA中,最低至百万分之一(ppm)。 结果:DeepSEA在所有肿瘤中鉴定出多样的体细胞SVs,从而能够构建个体化的MRD标志物集。在纵向血浆分析中,患者特异性SVs可在极低变异分数下定量,且与单一事件追踪相比,整合多个SV标志物提高了检测稳健性。在稀释研究中,PredicineBEACON检测在片段水平共识过滤和多证据断点判定的支持下,实现了低至1 ppm的可靠MRD检测且具有高特异性。SV衍生信号在实体瘤和血液系统肿瘤中均可检出,凸显了该平台的广泛适用性。 结论:Predicine DeepSEA流程可对组织和血浆中的结构变异进行灵敏、特异的检测。将SVs纳入PredicineBEACON MRD检测可实现高度灵敏的个体化ctDNA追踪,检测限接近1 ppm。这一基于SV的框架为跨多种肿瘤类型的分子监测提供了技术稳健且广泛适用的平台。
查看英文原文 English abstract
Background: Structural variants (SVs), including fusions, translocations, large insertions/deletions, inversions and duplications, are highly tumor-specific genomic events and powerful biomarkers for molecular residual disease (MRD) assessment. Detecting SVs with unknown partners using short-read sequencing remains challenging, especially at ultra-low variant fractions. We developed the Predicine DeepSEA SV detection algorithm to enable comprehensive discovery and sensitive tracking of multi-class SVs in tissue and plasma. Methods: Predicine DeepSEA integrates de novo assembly, refined BWA-based re-alignment, fragment-level molecular quantification, and combined split-read and paired-read evidence to detect and classify five SV subtypes with high accuracy. The workflow was applied to tumor tissue and matched longitudinal plasma samples from 30 patients with solid tumors or hematologic malignancies. PredicineBEACON MRD assays incorporated somatic SV breakpoints identified by whole-genome sequencing of high-tumor-fraction (>20% TF) baseline samples. Personalized SV-based panels were then designed for targeted MRD tracking. Analytical sensitivity was evaluated using titration experiments in which patient-derived cfDNA was spiked into healthy donor cfDNA at defined dilutions down to 1 part per million (ppm). Results: DeepSEA identified diverse somatic SVs across all tumors, enabling construction of individualized MRD marker sets. In longitudinal plasma analysis, patient-specific SVs were quantifiable at extremely low variant fractions, and integration of multiple SV markers improved detection robustness compared with single-event tracking. In dilution studies, the PredicineBEACON assay achieved reliable MRD detection down to 1 ppm with high specificity, supported by fragment-level consensus filtering and multi-evidence breakpoint calls. SV-derived signals were detectable in both solid and hematologic cancers, underscoring the platform's broad applicability. Conclusion: The Predicine DeepSEA pipeline provides sensitive and specific detection of structural variants in tissue and plasma. Incorporation of SVs into the PredicineBEACON MRD assay enables highly sensitive, personalized ctDNA tracking with detection limits approaching 1 ppm. This SV-based framework delivers a technically robust and broadly applicable platform for molecular monitoring across diverse cancer types.
利益披露 Disclosure
K. Zhou, Predicine Inc Employment. Y. Huang, Predicine Inc Employment. A. He, Predicine Inc Employment. J. Wang, Predicine Inc Employment. B. Xiang, Predicine Inc Employment. X. Wang, Predicine Inc Employment. P. Du, Predicine Inc Employment.

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