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ORIGINAL RESEARCH article

Front. Oncol.

Sec. Neuro-Oncology and Neurosurgical Oncology

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1605949

Characterization of hypoxia-related molecular clusters and prognostic riskScore for glioma

Provisionally accepted
  • 1Department of Neurosurgery, The First Affiliated Hospital of China Medical University, Shenyang, China
  • 2Department of Neurosurgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China

The final, formatted version of the article will be published soon.

Glioma, a prevalent CNS cancer, constitutes 30% of primary and 80% of malignant brain tumors.Incidence rises with age, slightly higher in males. High-grade gliomas, like GBM, are aggressive and life-threatening. Current treatments-surgery, radiation, chemotherapy-are limited, necessitating targeted therapies and deeper mechanistic insights for improved outcomes. Hypoxia, low oxygen tension, drives cancer progression via pathways like HIF, promoting angiogenesis, survival, and immune evasion. Targeting hypoxia is promising for therapy, as seen in breast, lung, and melanoma cancers. Advancing understanding of hypoxia in gliomas-its mechanisms, measurement, and targeted treatments-is critical for therapeutic innovation. Utilizing data from TCGA and CGGA, we classified gliomas into two subgroups, C1 and C2, based on hypoxia-related gene sets. Patients in the C1 subgroup exhibited significantly worse prognoses, with upregulated genes associated with multiple tumor progression pathways. Furthermore, the immune microenvironment in C1 was more conducive to tumor survival and growth. Genomic instability in C1 patients was markedly higher than in C2. A prognostic scoring system constructed using key hypoxia-related factors demonstrated robust prognostic value across multiple datasets. Finally, we identified four core hub genes (SOCS3, CLCF1, PLAUR, and LIF) that are likely overexpressed under hypoxic conditions, and their expression was validated via Western blot in glioma cell lines cultured under hypoxia. This study employed bioinformatics to subtype gliomas, revealing prognostic and functional differences, and experimentally validated the expression levels of candidate molecules, laying the groundwork for further research into their roles and mechanisms.

Keywords: Glioma, RiskScore, hypoxia, Brain, LIF

Received: 04 Apr 2025; Accepted: 26 Aug 2025.

Copyright: © 2025 Xiang, Wu 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: Chengran Xu, Department of Neurosurgery, The First Affiliated Hospital of China Medical University, Shenyang, China

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