Markowitz Alexander L, Munugula Chetan, Christodoulou Eirini, Ji Jianling, Xu Liya, Cotter Jennifer A, Yellapantula Venkata
Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
NPJ Precis Oncol. 2025 Aug 12;9(1):280. doi: 10.1038/s41698-025-01067-5.
Identifying molecular groups in medulloblastoma currently requires invasive biopsies for accurate diagnosis. We analyzed cerebrospinal fluid cell-free DNA (cfDNA) fragmentation patterns in 122 samples as a minimally-invasive alternative. Our analysis confirmed established group-specific copy number alterations and identified distinct fragmentation patterns for each group. Our integrated meta-classifier achieved high accuracy (mean-AUC 0.94) in distinguishing the four molecular groups, demonstrating cfDNA fragmentomics' potential for improving diagnosis and personalized treatment strategies.
目前，要确定髓母细胞瘤中的分子组需要进行侵入性活检才能准确诊断。我们分析了122份样本中的脑脊液游离DNA（cfDNA）片段化模式，作为一种微创替代方法。我们的分析证实了既定的组特异性拷贝数改变，并确定了每组不同的片段化模式。我们的综合元分类器在区分这四个分子组方面达到了很高的准确率（平均AUC为0.94），证明了cfDNA片段组学在改善诊断和个性化治疗策略方面的潜力。
