R Taylor Sundby, Jeffrey J Szymanski, Alexander C Pan, Paul A Jones, Sana Z Mahmood, Olivia H Reid, Divya Srihari, Amy E Armstrong, Stacey Chamberlain, Sanita Burgic, Kara Weekley, Béga Murray, Sneh Patel, Faridi Qaium, Andrea N Lucas, Margaret Fagan, Anne Dufek, Christian F Meyer, Natalie B Collins, Christine A Pratilas, Eva Dombi, Andrea M Gross, AeRang Kim, John S A Chrisinger, Carina A Dehner, Brigitte C Widemann, Angela C Hirbe, Aadel A Chaudhuri, Jack F Shern
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In this study, we describe a cell-free DNA (cfDNA) fragmentomic approach that distinguishes nonmalignant, premalignant, and malignant forms of PNST in the cancer predisposition syndrome, NF1.</p><p><strong>Experimental design: </strong>cfDNA was isolated from plasma samples of a novel cohort of 101 patients with NF1 and 21 healthy controls and underwent whole-genome sequencing. We investigated diagnosis-specific signatures of copy-number alterations with in silico size selection as well as fragment profiles. Fragmentomics were analyzed using complementary feature types: bin-wise fragment size ratios, end motifs, and fragment non-negative matrix factorization signatures.</p><p><strong>Results: </strong>The novel cohort of patients with NF1 validated that our previous cfDNA copy-number alteration-based approach identifies malignant PNST (MPNST) but cannot distinguish between benign and premalignant states. 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引用次数: 0
摘要
目的:早期检测与神经纤维瘤病 1 型(NF1)相关的外周神经鞘瘤(PNST)可为临床决策提供信息,使早期明确治疗成为可能,从而避免致命的结果。实验设计:从101名NF1患者和21名健康对照者的血浆样本中分离出cfDNA,并进行全基因组测序。我们研究了特定诊断的拷贝数改变(CNA)特征,并对其大小和片段特征进行了硅学选择。片段组学分析使用了互补特征类型:二进制片段大小比、末端特征和片段非负矩阵因式分解(NMF)特征:结果:NF1患者的新队列验证了我们之前基于cfDNA CNA的方法能识别恶性周围神经鞘瘤(MPNST),但不能区分良性和恶性前状态。片段组学方法能够区分恶性前状态,包括非典型神经纤维瘤(AN)。片段组学还能判定疑似 MPNST 的 AN 病例,以非侵入性方式正确诊断样本,为临床管理提供依据:新的cfDNA片段组学特征可将非典型神经纤维瘤与良性丛状神经纤维瘤和恶性周围神经鞘瘤区分开来,从而实现更精确的临床诊断和管理。这项研究开创了早期检测NF1恶性和恶性前周围神经鞘瘤的先河,为遗传性癌症综合征的非侵入性癌症监测去中心化提供了蓝图。
Early Detection of Malignant and Premalignant Peripheral Nerve Tumors Using Cell-Free DNA Fragmentomics.
Purpose: Early detection of neurofibromatosis type 1 (NF1)-associated peripheral nerve sheath tumors (PNST) informs clinical decision-making, enabling early definitive treatment and potentially averting deadly outcomes. In this study, we describe a cell-free DNA (cfDNA) fragmentomic approach that distinguishes nonmalignant, premalignant, and malignant forms of PNST in the cancer predisposition syndrome, NF1.
Experimental design: cfDNA was isolated from plasma samples of a novel cohort of 101 patients with NF1 and 21 healthy controls and underwent whole-genome sequencing. We investigated diagnosis-specific signatures of copy-number alterations with in silico size selection as well as fragment profiles. Fragmentomics were analyzed using complementary feature types: bin-wise fragment size ratios, end motifs, and fragment non-negative matrix factorization signatures.
Results: The novel cohort of patients with NF1 validated that our previous cfDNA copy-number alteration-based approach identifies malignant PNST (MPNST) but cannot distinguish between benign and premalignant states. Fragmentomic methods were able to differentiate premalignant states including atypical neurofibromas (AN). Fragmentomics also adjudicated AN cases suspicious for MPNST, correctly diagnosing samples noninvasively, which could have informed clinical management.
Conclusions: Novel cfDNA fragmentomic signatures distinguish AN from benign plexiform neurofibromas and MPNST, enabling more precise clinical diagnosis and management. This study pioneers the early detection of malignant and premalignant PNST in NF1 and provides a blueprint for decentralizing noninvasive cancer surveillance in hereditary cancer predisposition syndromes.
期刊介绍:
Clinical Cancer Research is a journal focusing on groundbreaking research in cancer, specifically in the areas where the laboratory and the clinic intersect. Our primary interest lies in clinical trials that investigate novel treatments, accompanied by research on pharmacology, molecular alterations, and biomarkers that can predict response or resistance to these treatments. Furthermore, we prioritize laboratory and animal studies that explore new drugs and targeted agents with the potential to advance to clinical trials. We also encourage research on targetable mechanisms of cancer development, progression, and metastasis.