Prognostic Value of Immunohistochemical Expression of MTAP and AKIP1 in IDH1 Mutant Astrocytoma

Ahmed, Mona Mostafa; Lateef, Mohammed A; Elwan, Amira; Fouad, Enas M; Elsayed, Dalia Hamouda; Abdelnour, Hanim M; Abdullatif, Asmaa

doi:10.31557/APJCP.2023.24.11.3875

Prognostic Value of Immunohistochemical Expression of MTAP and AKIP1 in IDH1 Mutant Astrocytoma

Document Type : Research Articles

Authors

¹ Department of Pathology, Faculty of Medicine, Zagazig University, Egypt.

² Department of Neurosurgery, Faculty of Medicine, Zagazig University, Egypt.

³ Department of Clinical Oncology, Faculty of Medicine, Zagazig University, Egypt.

⁴ Department of Medical Oncology, Faculty of Medicine, Zagazig University, Egypt.

⁵ Departments of Biochemistry, Faculty of Medicine, Zagazig University, Egypt.

10.31557/APJCP.2023.24.11.3875

Abstract

Background: Definite treatment for glioma is not exist, and with increased drug resistance, more effort should be paid to identify new prognostic biomarkers and molecular targets for therapy for glioma patients. Aim: The current study aimed to evaluate the immunohistochemical (IHC) expression of MTAP and A-Kinase Interacting Protein 1 (AKIP1) in astrocytoma and to investigate their association with the clinicopathological characters of these cases. Methods: Totally 66 cases of astrocytoma patients involved in this study. Cases underwent tumor resection and tissue sections were stained with MTAP, AKIP1 and IDH1 by IHC and evaluated in different grades of astrocytoma and their association with survival and response to therapy was investigated. Results: High AKIP1 expression was positively correlated with treatment resistance and progressive disease. Positive IDH and retained MTAP expressions had shown better treatment response rather than negative IDH and lost MTAP. High AKIP, negative IDH and loss of MTAP expressions were significantly associated with poor survival outcome. Conclusion: Irrespective to grade and IDH status, the loss of MTAP immunoreactivity and high AKIP1 expression are predictive factors in astrocytoma, and they may be used as a biomarker for guiding astrocytoma management and prognosis surveillance.

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