Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.
Clin Cancer Res. 2024 Oct 1;30(19):4363-4376. doi: 10.1158/1078-0432.CCR-24-0797.
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.
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.
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.
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.
早期发现神经纤维瘤病 1 型(NF1)相关的周围神经鞘瘤(PNST)可辅助临床决策,实现早期确定性治疗,从而避免致命后果。本研究中,我们描述了一种无细胞游离 DNA(cfDNA)片段组学方法,可区分 NF1 这种癌症易感性综合征中良性、交界性和恶性的 PNST。
从 101 名 NF1 患者和 21 名健康对照者的新型队列的血浆样本中分离 cfDNA,并进行全基因组测序。我们通过计算大小选择以及片段谱,研究了具有诊断特异性的拷贝数改变特征。片段组学分析采用了互补的特征类型:位分比片段大小比、末端基序和片段非负矩阵分解特征。
NF1 患者的新型队列验证了我们之前基于 cfDNA 拷贝数改变的方法可识别恶性 PNST(MPNST),但无法区分良性和交界性状态。片段组学方法能够区分交界性状态,包括不典型神经纤维瘤(AN)。片段组学还对疑似 MPNST 的 AN 病例进行了裁决,正确地进行了非侵入性诊断,这可能为临床管理提供了信息。
新型 cfDNA 片段组学特征可将 AN 与良性丛状神经纤维瘤和 MPNST 区分开来,从而实现更精确的临床诊断和管理。本研究开创了 NF1 中恶性和交界性 PNST 的早期检测先河,并为遗传性癌症易感性综合征中的非侵入性癌症监测提供了蓝图。