Impact of Higher Cell-Free DNA Yields on Liquid Biopsy Testing in Glioblastoma Patients.

IF 7.1 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Clinical chemistry Pub Date : 2025-01-03 DOI:10.1093/clinchem/hvae178
J Bryan Iorgulescu, Timothy Blewett, Kan Xiong, Andjela Crnjac, Ruolin Liu, Sainetra Sridhar, David A Braun, MacLean C Sellars, Ju Cheng, Justin Rhoades, David A Reardon, G Mike Makrigiorgos, Catherine J Wu, Viktor A Adalsteinsson
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Abstract

Background: Minimally invasive molecular profiling using cell-free DNA (cfDNA) is increasingly important to the management of cancer patients; however, low sensitivity remains a major limitation, particularly for brain tumor patients. Transiently attenuating cfDNA clearance from the body-thereby, allowing more cfDNA to be sampled-has been proposed to improve the performance of liquid biopsy diagnostics. However, there is a paucity of clinical data on the effect of higher cfDNA recovery. Here, we investigated the impact of collecting greater quantities of cfDNA on circulating tumor DNA (ctDNA) sensitivity in the "low-shedding" cancer type glioblastoma by analyzing up to approximately 15-fold more plasma than routinely obtained clinically.

Methods: We tested 70 plasma samples (median 17.0 mL, range 2.5-66.5) from 8 IDH-wild-type glioblastoma patients using an optimized version of the MAESTRO-Pool ctDNA assay. Results were compared with simulated single-blood-tube equivalents of cfDNA. ctDNA results were then compared with magnetic resonance imaging (MRI) and pathology assessments of true progression vs pseudoprogression in glioblastoma patients.

Results: Larger cfDNA yields exhibited a doubling in ctDNA-positivity while achieving a median specificity of 99% and more precise ctDNA quantification. In 8 glioblastoma patients, ctDNA was detected in 88%, including at multiple timepoints in 6/7. In the setting of indeterminate progression by MRI, our data suggested that MAESTRO-Pool with large plasma volumes can help distinguish true glioblastoma progression from pseudoprogression.

Conclusions: Our findings provide a proof-of-principle that most glioblastomas shed ctDNA into plasma and that greater ctDNA yields could help improve liquid biopsies for "low-shedding" cancer types such as glioblastoma.

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高游离DNA产率对胶质母细胞瘤患者液体活检检测的影响。
背景:使用无细胞DNA (cfDNA)的微创分子谱分析在癌症患者的治疗中越来越重要;然而,低灵敏度仍然是主要的限制,特别是对脑肿瘤患者。暂时减弱体内cfDNA的清除率——从而允许更多的cfDNA被采样——已被提出用于提高液体活检诊断的性能。然而,缺乏关于高cfDNA恢复效果的临床数据。在这里,我们研究了收集更大量的cfDNA对“低脱落”癌型胶质母细胞瘤中循环肿瘤DNA (ctDNA)敏感性的影响,分析了比常规临床获得的血浆多约15倍的血浆。方法:我们使用优化版的MAESTRO-Pool ctDNA检测方法检测了来自8例idh野生型胶质母细胞瘤患者的70份血浆样本(中位数17.0 mL,范围2.5-66.5)。结果与模拟的单管cfDNA当量进行了比较。然后将ctDNA结果与磁共振成像(MRI)和胶质母细胞瘤患者真进展与假进展的病理评估进行比较。结果:更大的cfDNA产量显示ctDNA阳性加倍,同时实现99%的中位特异性和更精确的ctDNA定量。在8例胶质母细胞瘤患者中,88%的患者检测到ctDNA,其中6/7在多个时间点检测到ctDNA。在MRI不确定进展的情况下,我们的数据表明,具有大血浆容量的MAESTRO-Pool可以帮助区分真正的胶质母细胞瘤进展和假进展。结论:我们的发现提供了一个原理证明,大多数胶质母细胞瘤将ctDNA释放到血浆中,并且更高的ctDNA产量可以帮助改善“低脱落”癌症类型(如胶质母细胞瘤)的液体活检。
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来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
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