|Year : 2020 | Volume
| Issue : 4 | Page : 803--812
Risk Stratification in Low Grade Glioma: A Single Institutional Experience
Vikrant Keshri1, Ravindra P Deshpande2, Y B V K Chandrasekhar1, Manas Panigrahi1, I Satish Rao3, Phanithi P Babu2
1 Department of Neurosurgery, Krishna Institute of Medical Sciences, Secunderabad, India
2 Department of Biotechnology and Bioinformatics, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
3 Department of Pathology, Krishna Institute of Medical Sciences, Secunderabad, India
Background: Low grade gliomas (LGG) are most often noted with the unpredictable overall survival and progression to higher grades. Objective: In the present study, we analyze the clinicopathological features influencing the prognostic outcomes and compared the features with criteria developed by EORTC.
Materials and Methods: We observed the 130 LGG clinical cases in single institute and maintained the follow-up for more than 5 years. In addition, the molecular details were confirmed with markers as IDH, 1p/19q codeletion, p53 and ATRX mutations.
Results: The mean age of patients as 37.67 years and male population contributing to 70%. We observed biased incidence among the male population with dominating occurrence at frontal and parietal lobes in the brain. 40.8% patients had oligodendroglioma, 33.8% astrocytoma, 19.2% oligoastrocytoma and 2.3% gemistocytic astrocytoma pathology. Patients who were subjected to chemotherapy and radiotherapy were noted with average survival of 29 months. Oligodendroglial tumors were found with progression free survival (PFS) of 25 months, oligoastrocytoma cases with 32 months, diffuse astrocytoma cases with 23 months while the gemistocytic astrocytoma cases had 22 months. The PFS for LGG cases was 4.7 years while the overall survival was 4.9 years. Mean survival of patients with KPS score <70 and >70 was 1.5 & 4.9 years respectively. 64 patients were observed with the tumor size >5 cm. In total, 72.3% of the patients were underwent GTR, 23.3% STR and 3.8% underwent biopsy.
Conclusion: Taken together, the clinical symptoms, expression of molecular markers and the prognosis details provided by our results can help for better management of LGG cases. We further propose to use following five factors to accurately describe the prognosis and tumor recurrence: 1) Age >50 years, 2) tumor size >5 cm, 3) MIB index >5%, 4) KPS score < 70 and 5) gemistocytic pathology.
Prof. Phanithi P Babu
Department of Biotechnology and Bioinformatics, School of Life Sciences, University of Hyderabad, Hyderabad - 500 046, Telangana
|How to cite this article:|
Keshri V, Deshpande RP, Chandrasekhar Y B, Panigrahi M, Rao I S, Babu PP. Risk Stratification in Low Grade Glioma: A Single Institutional Experience.Neurol India 2020;68:803-812
|How to cite this URL:|
Keshri V, Deshpande RP, Chandrasekhar Y B, Panigrahi M, Rao I S, Babu PP. Risk Stratification in Low Grade Glioma: A Single Institutional Experience. Neurol India [serial online] 2020 [cited 2020 Nov 25 ];68:803-812
Available from: https://www.neurologyindia.com/article.asp?issn=0028-3886;year=2020;volume=68;issue=4;spage=803;epage=812;aulast=Keshri;type=0