Classification of Glioblastoma Based on Immunohistochemical Expression of IDH-1, p53, and ATRX: A Study from a Tertiary Care Center in South India

Abstract 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. 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. 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. 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.

Authors

Institutions

Publication Details

Journal
Indian Journal of Neurosurgery
Published
2025-08-19
DOI
https://doi.org/10.1055/s-0045-1811228
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification of Glioblastoma Based on Immunohistochemical Expression of IDH-1, p53, and ATRX: A Study from a Tertiary Care Center in South India

Govindan Aparna, Supriya Nilambur Kovilakam, Rajeev Mandaka Parambil, Hiba Thankayathil
Indian Journal of Neurosurgery
Glioma Diagnosis and Treatment
article

Classification of Glioblastoma Based on Immunohistochemical Expression of IDH-1, p53, and ATRX: A Study from a Tertiary Care Center in South India

Govindan Aparna, Supriya Nilambur Kovilakam, Rajeev Mandaka Parambil, Hiba Thankayathil
article en

Abstract

Abstract 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. 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. 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. 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.

Indian Journal of NeurosurgeryVol. 14(S 01)
Government Medical College (IN)
Openalex Percentile: Top 71%
Glioma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.