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Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
Published on: January 9, 2019
[Correlation between p53 immunohistochemistry and TP53 mutations in gliomas]
1Department of Pathology, the First Affiliated Hospital of Fujian Medical University; Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Zhonghua Bing Li Xue Za Zhi = Chinese Journal of Pathology
|March 30, 2025
Summary
p53 immunohistochemistry accurately predicts TP53 gene mutations in diffuse gliomas. A threshold of ≥20% positive cells indicates mutation, while completely negative results suggest further gene sequencing is needed.
Area of Science:
- Oncology
- Molecular Pathology
- Cancer Genetics
Context:
- Diffuse gliomas are primary brain tumors with varying TP53 mutation statuses.
- TP53 gene mutations are common in gliomas and impact prognosis and treatment.
- Accurate prediction of TP53 mutational status is crucial for glioma classification and management.
Purpose:
- To assess the diagnostic accuracy of p53 immunohistochemistry (IHC) in predicting TP53 gene mutations in diffuse gliomas.
- To determine an optimal threshold for p53 IHC positivity indicative of TP53 mutation.
- To evaluate p53 IHC as a potential surrogate for TP53 mutational analysis.
Summary:
- A retrospective study analyzed 242 diffuse gliomas using next-generation sequencing (NGS) and p53 IHC.
- p53 IHC positivity ≥20% strongly correlated with TP53 mutations (P<0.05), showing 75.6% sensitivity and 90.4% specificity.
- Completely negative p53 IHC results were associated with a higher TP53 mutation rate (6/17), warranting further genetic investigation.
Impact:
- p53 IHC can serve as a reliable, cost-effective alternative for TP53 mutation detection in gliomas when positivity is ≥20%.
- The study highlights the importance of considering TP53 sequencing for gliomas with completely negative p53 IHC results.
- Findings can refine glioma diagnosis and guide personalized treatment strategies based on TP53 status.

