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DOI: 10.1055/s-0045-1811228
Classification of Glioblastoma Based on Immunohistochemical Expression of IDH-1, p53, and ATRX: A Study from a Tertiary Care Center in South India
Authors
Abstract
Introduction
Glioblastoma (GBM) is the most common malignant brain tumor in adults characterized by an extremely aggressive clinical phenotype. Understanding the molecular markers involved in GBM is critical for development of more effective and targeted therapies. The present study attempts to study the prevalence of immunohistochemical expression of IDH-1, p53, and ATRX in GBMs in our population.
Materials and Methods
The present study is a descriptive cross-sectional study conducted in the department of pathology, on a total of 95 cases of GBM during the study period of 5 years. The immunohistochemical testing was done and evaluated.
Results
Out of 95 cases of GBM, 74 were IDH wild-type (IDH-1 − ) and 21 were IDH mutant (IDH-1 + ). In our study, 37.9% of cases showed p53 overexpression (p53 + ) and 46.3% of cases showed loss of ATRX expression (ATRX − ). A statistically significant association was found in the expression of p53 and ATRX among IDH mutant cases on combined three-protein analysis (p-value = 0.01). Majority of them were p53 negative (p53 − ) and showed ATRX loss. Among IDH wild-type cases, majority were negative for p53 with retained ATRX expression (ATRX + ), which was in concordance with other studies.
Conclusion
These findings suggest that the identification of combinations of these protein markers may be useful for the classification and thus it may help to provide a deeper understanding of the molecular heterogeneity and aggressiveness of GBM and may help in the development of targeted therapies.
Ethical Approval Statement
Ethical approval was obtained from the Institutional Ethics Committee prior to the initiation of the study.
Publication History
Article published online:
19 August 2025
© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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