Related Experiment Video
Updated: Jun 29, 2025
11:19
Correlating Gene-specific DNA Methylation Changes with Expression and Transcriptional Activity of Astrocytic KCNJ10 Kir4.1
Published on: September 26, 2015
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Cuproptosis-related gene-located DNA methylation in lower-grade glioma: Prognosis and tumor microenvironment
Liucun Zhu1,1, Fa Yuan1,1, Xue Wang2
1School of Life Sciences, Shanghai University, Shanghai, China.
Cancer Biomarkers : Section a of Disease Markers
|April 5, 2024
Summary
DNA methylation in cuproptosis-related genes (CRGs) can predict lower-grade glioma (LGG) patient survival. This novel signature may offer new therapeutic targets for LGG.
Area of Science:
- Oncology
- Epigenetics
- Molecular Biology
Background:
- Cuproptosis, a copper-dependent cell death, influences cancer development and patient outcomes.
- The role of DNA methylation in cuproptosis-related genes (CRGs) concerning lower-grade glioma (LGG) prognosis and tumor microenvironment is not well understood.
Purpose of the Study:
- To investigate the prognostic value of DNA methylation in CRGs for LGG.
- To develop and validate a DNA methylation-based signature for predicting LGG patient survival.
Main Methods:
- Utilized clinical and molecular data from TCGA and GEO databases.
- Employed Cox regression, Kaplan-Meier, and time-dependent ROC analyses to build and assess a prognostic signature.
- Performed Gene Set Enrichment Analysis (GSEA) to explore biological functions.
Main Results:
- A three-CRG DNA methylation signature was developed and validated, demonstrating significant prognostic capability (AUCs ranging from 0.725 to 0.943).
- The signature independently predicted LGG patient survival and correlated with immune infiltration and checkpoints.
- GSEA revealed differential enrichment in pathways including cell differentiation, ECM interactions, glycolysis, and reactive oxygen species.
Conclusions:
- A novel DNA methylation signature based on CRGs effectively predicts prognosis in LGG patients.
- CRG-located DNA methylation holds potential as a predictive biomarker and therapeutic target for LGG.
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