Dataset Information

Multi-Omics of Spinal Ependymal Tumor

ABSTRACT: We conducted a multi-omics analysis of 25 patients, comprising 8 with ependymoma, 10 with myxopapillary ependymoma, and 7 with subependymoma, to identify both shared and distinct genomic, transcriptional, and proteomic features among these subtypes.

ORGANISM(S): Homo Sapiens

SUBMITTER: Wenqing Jia

PROVIDER: PXD056112 | iProX | Fri Sep 20 00:00:00 GMT+01:00 2024

REPOSITORIES: iProX

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Publications

Multi-omics analysis delineates molecular signatures of spinal ependymal tumor.

Liu Weihao W Ning Chao C Geng Xiaohan X Wang Bo B Zhang Yaowu Y Wang Chong C Liu Yixiang Y Zheng Guanghao G Wang Yongzhi Y Wang Xinyu X Li Dong D Jia Wenqing W

Cellular oncology (Dordrecht, Netherlands) 20251029 6

<h4>Background</h4>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.<h4>Methods</h4>Using an integrated multi-omics approach (whole-genome sequencing, RNA-seq, and mass spectrometry), we identified the distinct molecular charact ...[more]

PMID: 41160379

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Dataset Information

Multi-Omics of Spinal Ependymal Tumor

Publications

Multi-omics analysis delineates molecular signatures of spinal ependymal tumor.

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