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Updated: May 6, 2026

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis
Published on: May 31, 2020
Multi-omics analysis delineates molecular signatures of spinal ependymal tumor
Weihao Liu1,2, Chao Ning3, Xiaohan Geng3,4
1Department of Neurosurgery, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Background:
Spinal ependymal tumors are a diverse group of neoplasms encompassing four subtypes: spinal ependymoma (SP-EPN), spinal ependymoma, MYCN-amplification (SP-EPN-MYCN), spinal myxopapillary ependymoma (SP-MPE), and spinal subependymoma (SP-SE). However, the molecular differences among these subtypes remain largely unknown.
Methods:
Using an integrated multi-omics approach (whole-genome sequencing, RNA-seq, and mass spectrometry), we identified the distinct molecular characteristics of three subtypes except for SP-EPN-MYCN.
Results:
In SP-EPN, abnormal enrichment of ciliary signaling, particularly involving the MKS complex, was evident. SP-MPE exhibited significant dysregulation of mitochondrial metabolism, reflecting a metabolic profile aligned with the Warburg effect. SP-SE tumors showed enhanced activity of immune-related pathways, including interferon signaling and extracellular vesicle dynamics, suggesting a distinct tumor microenvironment.
Conclusion:
This pilot study identifies candidate molecular markers in a single-center spinal ependymal tumor cohort.
Clinical Trial Number:
Not applicable.
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