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Nucleolar organizer regions in meningiomas
V V Radhakrishnan1, N S Radhakrishnan, D Rout
1Department of Pathology, Sree Chitra Tirunal Institute for Medical Science and Technology, Trivandrum, India.
British Journal of Neurosurgery
|January 1, 1993
Summary
Nucleolar organizer regions (Ag-NORs) can help predict meningioma aggressiveness. Higher Ag-NOR counts correlate with increased recurrence rates in atypical meningiomas, aiding in clinical behavior prediction.
Area of Science:
- Neuropathology
- Oncology
- Cell Biology
Background:
- Meningiomas are the most common primary intracranial tumors.
- Accurate histopathological classification is crucial for predicting meningioma behavior.
- Identifying reliable prognostic markers for meningiomas remains an active area of research.
Purpose of the Study:
- To investigate the utility of nucleolar organizer region (Ag-NOR) counts in predicting the clinical behavior of meningeal tumors.
- To correlate Ag-NOR counts with different histopathological variants of meningioma.
- To assess the relationship between Ag-NORs and tumor recurrence rates.
Main Methods:
- Analysis of paraffin-embedded sections from 305 meningeal tumors.
- Application of a one-step silver-colloidal staining method to identify Ag-NORs in neoplastic cells.
- Statistical comparison of mean Ag-NOR counts across different meningioma variants and recurrence rates.
Main Results:
- Mean Ag-NOR counts were higher in atypical (2.73 +/- 0.21) and papillary (2.91 +/- 0.18) meningiomas compared to meningotheliomatous (1.41 +/- 0.34) and transitional (1.38 +/- 0.31) variants.
- Atypical meningiomas exhibited significantly higher recurrence rates (p < 0.05).
- No significant difference in mean Ag-NOR numbers was observed between primary and recurrent meningothelial and transitional meningiomas (p > 0.05).
Conclusions:
- Ag-NOR estimation is a valuable tool for predicting the aggressive clinical behavior of primary meningeal tumors.
- Higher Ag-NOR counts are associated with increased tumor aggressiveness and recurrence.
- This method can aid in risk stratification and treatment planning for meningioma patients.