Evidence mapPaperPMID 41250539Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025

[Plasma lipidomics-based exploration of potential biomarkers of metastasis in pediatric medulloblastoma].

Chun-Jing Yang, Xi-Qiao Xu, Li Bao, Wan-Shui Wu, De-Chun Jiang, Zheng-Yuan Shi

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Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chun-Jing YangDepartment of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Xi-Qiao XuDepartment of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Li BaoDepartment of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Wan-Shui Wu
De-Chun JiangDepartment of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Zheng-Yuan ShiDepartment of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify potential plasma lipidomic biomarkers that distinguish non-metastatic medulloblastoma (nmMB) from metastatic medulloblastoma (mMB) in children.

methodsIn this prospective study, 17 children with mMB and 20 matched children with nmMB were enrolled. Plasma samples were analyzed using ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Lipid metabolites were evaluated for their associations and diagnostic performance.

resultsOrthogonal partial least squares discriminant analysis based on lipid profiles clearly separated nmMB from mMB, and 14 differential lipids were identified, including DG(18:2/20:4/0:0) and SM(d18:1/20:0). Receiver operating characteristic analysis showed nine metabolites with area under the curve greater than 0.7. Differential lipids were enriched in sphingolipid, glycerophospholipid, and arachidonic acid metabolism, suggesting an association with the metastatic phenotype.

conclusionsPlasma lipidomics provides a new approach to identify mMB, and the identified lipid metabolites may support early diagnosis and treatment, prognostic assessment, and selection of therapeutic targets for metastatic medulloblastoma.

Indexed as

Biomarkers, TumorCerebellar NeoplasmsLipidomicsLipidsMedulloblastomaAdolescentChildChild, PreschoolFemaleHumansMaleNeoplasm MetastasisProspective StudiesBiomarkers, TumorLipidsChildLipidomicsMedulloblastomaMetastasisPotential biomarkerUltra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry

Identifiers

PMID41250539
PMCPMC12688193

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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.