EN
The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and p53 Mutations with Prognosis in Glioblastomas
Abstract
Aim: Glioblastoma is the most common malignant brain tumor. In the literature, few reports examine the relationship between morphologic findings of glioblastomas and patient prognosis. This study investigates the effects of morphological conclusions, IDH1, EGFR, p53 expressions, and Ki-67 proliferation index on patient prognosis in glioblastoma patients.
Material and Method: This study evaluated 166 patients diagnosed with glioblastoma between 2014 and 2017 in the Faculty of Medicine, Department of Pathology. Morphological findings (broad necrosis, focal necrosis, palisaded necrosis, microvascular proliferation, atypia, cellularity, lymphocyte infiltration, mitosis, cell type) were classified according to their presence/absence or intensity. IDH1, EGFR (Epidermal Growth Factor Receptor), p53 expressions, and Ki-67 proliferation indexes were grouped according to staining/non-staining conditions or staining percentages. The relationship between these findings and postoperative survival time was investigated.
Results: There was no statistically significant relationship with survival between morphologic findings, IDH1, EGFR, p53 expressions, and Ki-67 index.
Conclusion: Morphological and immunohistochemical features are insufficient to predict glioblastoma prognosis. Referring to molecular methods in estimating the prognosis may be more appropriate.
Keywords
References
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Details
Primary Language
English
Subjects
Pathology
Journal Section
Research Article
Publication Date
December 30, 2023
Submission Date
December 8, 2021
Acceptance Date
August 22, 2023
Published in Issue
Year 2023 Volume: 13 Number: 3
APA
Dalar, S., Tolunay, Ş., & Bekar, A. (2023). The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and p53 Mutations with Prognosis in Glioblastomas. Kafkas Journal of Medical Sciences, 13(3), 237-244. https://izlik.org/JA59PP79YN
AMA
1.Dalar S, Tolunay Ş, Bekar A. The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and p53 Mutations with Prognosis in Glioblastomas. Kafkas Journal of Medical Sciences. 2023;13(3):237-244. https://izlik.org/JA59PP79YN
Chicago
Dalar, Sevda, Şahsine Tolunay, and Ahmet Bekar. 2023. “The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and P53 Mutations With Prognosis in Glioblastomas”. Kafkas Journal of Medical Sciences 13 (3): 237-44. https://izlik.org/JA59PP79YN.
EndNote
Dalar S, Tolunay Ş, Bekar A (December 1, 2023) The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and p53 Mutations with Prognosis in Glioblastomas. Kafkas Journal of Medical Sciences 13 3 237–244.
IEEE
[1]S. Dalar, Ş. Tolunay, and A. Bekar, “The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and p53 Mutations with Prognosis in Glioblastomas”, Kafkas Journal of Medical Sciences, vol. 13, no. 3, pp. 237–244, Dec. 2023, [Online]. Available: https://izlik.org/JA59PP79YN
ISNAD
Dalar, Sevda - Tolunay, Şahsine - Bekar, Ahmet. “The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and P53 Mutations With Prognosis in Glioblastomas”. Kafkas Journal of Medical Sciences 13/3 (December 1, 2023): 237-244. https://izlik.org/JA59PP79YN.
JAMA
1.Dalar S, Tolunay Ş, Bekar A. The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and p53 Mutations with Prognosis in Glioblastomas. Kafkas Journal of Medical Sciences. 2023;13:237–244.
MLA
Dalar, Sevda, et al. “The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and P53 Mutations With Prognosis in Glioblastomas”. Kafkas Journal of Medical Sciences, vol. 13, no. 3, Dec. 2023, pp. 237-44, https://izlik.org/JA59PP79YN.
Vancouver
1.Sevda Dalar, Şahsine Tolunay, Ahmet Bekar. The Relationship of Clinicopathological Features, Ki-67 Proliferation Index, IDH1, EGFR, and p53 Mutations with Prognosis in Glioblastomas. Kafkas Journal of Medical Sciences [Internet]. 2023 Dec. 1;13(3):237-44. Available from: https://izlik.org/JA59PP79YN