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ORIGINAL RESEARCH article
Front. Oncol.
Sec. Cancer Molecular Targets and Therapeutics
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1521608
This article is part of the Research TopicNovel Molecular Targets in Cancer TherapyView all 27 articles
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Background: Glioma, particularly glioblastoma (GBM), remains a highly aggressive and challenging tumour, characterised by poor prognosis and limited therapeutic options. LSM2, an RNA-binding protein, has been implicated in tumour progression, yet its role in glioma remains underexplored. This study aims to investigate the expression, prognostic significance, and molecular mechanisms of LSM2 in glioma, focusing on its impact on RNA splicing regulation.Methods: Clinical and transcriptomic data from 163 GBM and 518 lower-grade glioma (LGG) cases from The Cancer Genome Atlas (TCGA) were analysed to assess LSM2 expression and its prognostic value. RNA sequencing was performed on LSM2 knockdown in T98G glioblastoma cells to identify differentially expressed genes (DEGs) and alternative splicing events (ASEs). Bioinformatics tools were employed to perform functional enrichment analyses and construct protein-protein interaction (PPI) networks.Results: LSM2 expression was significantly elevated in gliomas, particularly in GBM and in tumours with 1p/19q non-deletion or IDH1 mutation (p < 0.001). High LSM2 expression was correlated with shorter overall survival (HR = 1.7, p = 0.01). Knockdown of LSM2 in T98G cells identified 728 upregulated and 1,720 downregulated genes, alongside 1,949 splicing alterations, which primarily affected pathways related to RNA metabolism, DNA damage response, and cell cycle regulation. Key hub genes such as TLN1, FN1, and IRF7 were associated with glioma progression and poor prognosis.Our findings demonstrate that LSM2 plays a critical role in glioma progression through the regulation of RNA splicing dynamics. Elevated LSM2 expression serves as a prognostic biomarker and offers promising potential as a therapeutic target in glioma.
Keywords: LSM2, Glioma, Alternative Splicing, multi-omics, tumour microenvironment, prognostic biomarker, Therapeutic target
Received: 02 Nov 2024; Accepted: 07 Apr 2025.
Copyright: © 2025 Yang, Ge, Zhang and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jingxuan Xu, Second Affiliated Hospital, Xinjiang Medical University, Urumqi, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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