Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas

IF 15.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Communications Pub Date : 2025-07-03 DOI:10.1038/s41467-025-61163-9

Keke Li, Ruimin Wang, Zhengying Gu, Wenyun Weng, Wanshan Liu, Yida Huang, Jiao Wu, Ziyue Zhang, Shouzhi Yang, Jun Su, Yujie Tang, Kun Qian, Mawei Jiang, Lin Huang, Jingjing Wan

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Abstract

Brainstem gliomas (BSG) is a highly malignant central nervous system childhood tumors with 5-year survival rate <10%. Metabolism during radiotherapy is a dynamic and precisely programmed process, improving clinical outcomes and guiding therapy decisions of BSG. Here we construct diagnostic and prognostic assays of BSG via circulating metabolites based on both cross-sectional study and longitudinal cohort study with 106 BSG patients. We employ nanoparticle enhanced laser desorption/ionization mass spectrometry to characterize static and dynamic snapshots of metabolites during BSG radiotherapy. We show that this serological tool reaches the area under the curve of 0.933 for BSG diagnosis in an independent blind test and predicts risk of patients with significant differences (p < 0.05) in prognostic outcomes. We further identify eight distinct temporal patterns of metabolite regulation associated with radiotherapy responses and tracked the metabolic trajectory via dynamic metabolic snapshots throughout radiotherapy process. If further validated, this framework could be extended to derive comprehensive metabolic pictures for cancers including but not limited to BSG.

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血清代谢谱分析有助于脑干胶质瘤的诊断、预后和监测

脑干胶质瘤（BSG）是一种高度恶性的中枢神经系统儿童期肿瘤，5年生存率为10%。放疗期间的代谢是一个动态的、精确编程的过程，可以改善临床结果，指导BSG的治疗决策。在此，我们基于106例BSG患者的横断面研究和纵向队列研究，通过循环代谢物构建BSG的诊断和预后分析。我们采用纳米粒子增强激光解吸/电离质谱法来表征BSG放疗期间代谢物的静态和动态快照。我们发现，该血清学工具在独立盲测中达到BSG诊断曲线下面积0.933，并预测预后结果有显著差异的患者的风险（p < 0.05）。我们进一步确定了与放疗反应相关的代谢物调节的八种不同的时间模式，并在整个放疗过程中通过动态代谢快照跟踪代谢轨迹。如果进一步验证，该框架可以扩展到包括但不限于BSG在内的癌症的综合代谢图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Communications Biological Science Disciplines-

CiteScore

24.90

自引率

2.40%

发文量

6928

审稿时长

3.7 months

期刊介绍： Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.