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ABSTRACT: Aims
This study aimed to investigate key regulators of aberrant iron metabolism in gliomas, and evaluate their effect on biological functions and clinical translational relevance.Methods
We used transcriptomic data from multiple cross-platform glioma cohorts to identify key iron metabolism-related genes (IMRGs) based on a series of bioinformatic and machine learning methods. The associations between IMRGs and prognosis, mesenchymal phenotype, and genomic alterations were analyzed in silico. The performance of the IMRGs-based signature in predicting temozolomide (TMZ) treatment sensitivity was evaluated. In vitro and in vivo experiments were used to explore the biological functions of these key IMRGs.Results
HMOX1, LTF, and STEAP3 were identified as the most essentia
SUBMITTER: Zhang J
PROVIDER: S-EPMC10848104 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature