ArticleTranslational cancer research2022
Ferroptosis related genes are regulated by methylation and predict the prognosis of glioblastoma patients.
Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- The Role of Methylation in Ferroptosis.Journal of cardiovascular translational research · 2024Review
- Ferroptosis in Cancer: Epigenetic Control and Therapeutic Opportunities.Biomolecules · 2024Review
- Effects of DNA, RNA, and Protein Methylation on the Regulation of Ferroptosis.International journal of biological sciences · 2023Review
- Ferroptosis Modulation: Potential Therapeutic Target for Glioblastoma Treatment.International journal of molecular sciences · 2022Review
- Cuproptosis-related gene signature correlates with the tumor immune features and predicts the prognosis of early-stage lung adenocarcinoma patients.Frontiers in genetics · 2022Article
- Molecular mechanisms of ferroptosis and the potential therapeutic targets of ferroptosis signaling pathways for glioblastoma.Frontiers in pharmacology · 2022Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Glioblastoma multiforme (GBM) is the most aggressive type of primary brain tumor. Ferroptosis is a form of cell death that is involved in regulating the biological behavior of tumors, and could become a promising potential biomarker in tumor diagnosis and treatment. Methods: We used the expression of ferroptosis related genes in the Cancer Genome Atlas (TCGA) and Chinese Glioma Cooperative Group (CGCG) datasets to construct a prognostic prediction model and verified the expression by real-time polymerase chain reaction (RT-qPCR). Using TCGA genomic and epigenetic data, we analyzed the factors that regulate the expression of these ferroptosis related genes. Results: We used 15 ferroptosis related genes related to the prognosis of GBM to establish a prognostic predictive risk model. The area under the curve (AUC) of this model was 0.907, which had good utility in predicting the prognosis of GBM, and could be used as an independent prognostic indicator for GBM patients. We verified the expression of these risk genes by RT-qPCR in 30 independent pairs of tumors and adjacent tissues. Genomic and epigenetic analysis of risk genes found that the expressions of these genes were mainly regulated by methylation, not copy number variation in GBM. Conclusions: The ferroptosis related characteristics proposed in this study can potentially predict the prognosis of GBM patients, and these prognostic-related genes are generally regulated by methylation.
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