Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas
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 diagnost...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-61163-9 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Keke Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0c3285bc726e4929ae6b078bafaf90fa |
| institution | DOAJ |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-0c3285bc726e4929ae6b078bafaf90fa2025-08-20T03:03:25ZengNature PortfolioNature Communications2041-17232025-07-0116111510.1038/s41467-025-61163-9Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomasKeke Li0Ruimin Wang1Zhengying Gu2Wenyun Weng3Wanshan Liu4Yida Huang5Jiao Wu6Ziyue Zhang7Shouzhi Yang8Jun Su9Yujie Tang10Kun Qian11Mawei Jiang12Lin Huang13Jingjing Wan14Department of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong UniversityState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong UniversityDepartment of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of MedicineKey Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Shanghai Key Laboratory of Reproductive Medicine, Department of Histoembryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of MedicineState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong UniversityState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong UniversityDepartment of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong UniversityKey Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Shanghai Key Laboratory of Reproductive Medicine, Department of Histoembryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of MedicineState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong UniversityDepartment of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong UniversityDepartment of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of MedicineSchool of Chemistry and Molecular Engineering, East China Normal UniversityAbstract 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.https://doi.org/10.1038/s41467-025-61163-9 |
| spellingShingle | 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 Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas Nature Communications |
| title | Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas |
| title_full | Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas |
| title_fullStr | Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas |
| title_full_unstemmed | Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas |
| title_short | Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas |
| title_sort | serum metabolic profiling enables diagnosis prognosis and monitoring for brainstem gliomas |
| url | https://doi.org/10.1038/s41467-025-61163-9 |
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