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Dataset Information

Global analysis of iron metabolism-related genes identifies potential mechanisms of gliomagenesis and reveals novel targets.


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