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Updated: Aug 8, 2026

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Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
Published on: January 9, 2019
ZIC3 expression identifies a developmental transcriptional axis in IDH-wildtype glioblastoma
Suhmi Chung1, Seungjoo Lee2, Jong Hwi Kim3
1Department of Neurosurgery, Asan Medical Center, Seoul, Republic of Korea.
Neuro-Chirurgie
|August 6, 2026
Summary
ZIC3 expression in IDH-wildtype glioblastoma indicates a transcriptional state linked to better survival. This finding may help define new therapeutic strategies for this aggressive brain cancer.
Area of Science:
- Neuro-oncology
- Cancer genomics
- Molecular biology
Background:
- IDH-wildtype glioblastoma is highly heterogeneous, with poorly understood molecular drivers of distinct tumor states.
- Current classifications do not fully capture the dynamic cellular states influencing glioblastoma progression.
Purpose of the Study:
- To investigate if ZIC3 gene expression can identify a specific transcriptional state in IDH-wildtype glioblastoma.
- To determine if this ZIC3-defined state correlates with patient clinical outcomes.
Main Methods:
- Analysis of RNA sequencing and clinical data from The Cancer Genome Atlas (TCGA) glioblastoma cohort (n=167 IDH-wildtype tumors).
- Survival analyses using Cox regression and Kaplan-Meier methods (n=161 patients).
- Evaluation of ZIC3 expression association with MGMT methylation, tumor microenvironment, and single-cell RNA sequencing data.
Main Results:
- Higher ZIC3 expression correlated with significantly longer overall and progression-free survival in IDH-wildtype glioblastoma.
- ZIC3 expression was not linked to MGMT promoter methylation or standard tumor microenvironment scores.
- ZIC3-high tumors showed enrichment of neural lineage and blood-brain barrier programs, while ZIC3-low tumors exhibited hypoxia and metabolic stress pathways.
Conclusions:
- ZIC3 expression defines a developmental transcriptional axis in IDH-wildtype glioblastoma.
- This axis connects neural lineage programs with hypoxia-adaptive tumor states, offering insights into glioblastoma heterogeneity and progression.
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