Evidence mapPaperPMID 40603879Full record

ArticleNature communications2025

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

Keke Li, Ruimin Wang, Zhengying Gu, Wenyun Weng, Wanshan Liu, Yida Huang, Jiao Wu, Ziyue Zhang, Shouzhi Yang, Jun Su and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. An Efficient Detection Platform Based on Mesoporous Au@CrAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Keke Li *Department of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China.
Ruimin Wang *State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Zhengying Gu *Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.ORCID http://orcid.org/0000-0002-8597-6752
Wenyun Weng *Key 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 Medicine, Shanghai, PR China.
Wanshan LiuState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Yida HuangState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.ORCID http://orcid.org/0000-0001-9725-5170
Jiao WuState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Ziyue ZhangState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Shouzhi YangState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China.
Jun SuDepartment of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China.
Yujie TangKey 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 Medicine, Shanghai, PR China.ORCID http://orcid.org/0000-0001-7647-5780
Kun QianState Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, PR China. k.qian@sjtu.edu.cn.ORCID http://orcid.org/0000-0003-1666-1965
Mawei JiangDepartment of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China. jiangmawei@xinhuamed.com.cn.ORCID http://orcid.org/0000-0003-2866-4709
Lin HuangDepartment of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China. linhuang@shsmu.edu.cn.ORCID http://orcid.org/0000-0002-3753-7894
Jingjing WanSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai, PR China. jjwan@chem.ecnu.edu.cn.ORCID http://orcid.org/0000-0001-9324-2647

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22474040National Natural Science Foundation of China (National Science Foundation of China) 82372148National Natural Science Foundation of China (National Science Foundation of China) 82422042Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 20DZ2220400
6 · The paper itself

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.

Indexed as

Biomarkers, TumorBrain Stem NeoplasmsGliomaMetabolomeMetabolomicsAdolescentAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansLongitudinal StudiesMalePrognosisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, Tumor

Identifiers

PMID40603879
PMCPMC12223127

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.