1. Glioblastoma mesenchymal subtype enhances antioxidant defence to reduce susceptibility to ferroptosis.
- Author
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D'Aprile S, Denaro S, Lavoro A, Candido S, Giallongo S, Torrisi F, Salvatorelli L, Lazzarino G, Amorini AM, Lazzarino G, Magro G, Tibullo D, Libra M, Giallongo C, Vicario N, and Parenti R
- Subjects
- Humans, Cell Line, Tumor, Brain Neoplasms metabolism, Brain Neoplasms pathology, Brain Neoplasms genetics, Gene Expression Regulation, Neoplastic, Ferric Compounds pharmacology, Quaternary Ammonium Compounds pharmacology, Glutathione metabolism, Piperazines, Ferroptosis drug effects, Ferroptosis genetics, Glioblastoma metabolism, Glioblastoma pathology, Glioblastoma genetics, Antioxidants pharmacology, Antioxidants metabolism
- Abstract
Glioblastoma (GBM) represents an aggressive brain tumor, characterized by intra- and inter-tumoral heterogeneity and therapy resistance, leading to unfavourable prognosis. An increasing number of studies pays attention on the regulation of ferroptosis, an iron-dependent cell death, as a strategy to reverse drug resistance in cancer. However, the debate on whether this strategy may have important implications for the treatment of GBM is still ongoing. In the present study, we used ferric ammonium citrate and erastin to evaluate ferroptosis induction effects on two human GBM cell lines, U-251 MG, with proneural characteristics, and T98-G, with a mesenchymal profile. The response to ferroptosis induction was markedly different between cell lines, indeed T98-G cells showed an enhanced antioxidant defence, with increased glutathione levels, as compared to U-251 MG cells. Moreover, using bioinformatic approaches and analysing publicly available datasets from patients' biopsies, we found that GBM with a mesenchymal phenotype showed an up-regulation of several genes involved in antioxidant mechanisms as compared to proneural subtype. Thus, our results suggest that GBM subtypes differently respond to ferroptosis induction, emphasizing the significance of further molecular studies on GBM to better discriminate between various tumor subtypes and progressively move towards personalized therapy., (© 2024. The Author(s).)
- Published
- 2024
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