P53 Suppressor Gene Tissue Microarray-based Protein Expression Analysis in Meningiomas

1Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Background/Aim: Meningiomas represent the main intracranial primary central nervous system (CNS) tumour in adults worldwide. Oncogenes’ over-activation combined with suppressor genes’ silencing affect negatively the biological behavior of these neoplasms. This study aimed to explore the impact of p53 suppressor gene expression in meningiomas’ clinic-pathological features based on a combination of sophisticated techniques. Materials and Methods: Fifty (n=50) meningiomas were included in the study, comprising a broad spectrum of histopathological subtypes. An immunohistochemistry assay was applied on tissue microarray cores followed by digital image analysis. Results: p53 protein over-expression (high staining intensity levels) was observed in 27/50 (54%) cases, whereas the rest (23/50-/46%) demonstrated moderate to low levels of the protein. p53 over-expression was statistically significantly correlated to the mitotic index of the examined cases (p-value=0.001). Interestingly, the atypical/anaplastic group of histotypes demonstrated the strongest p53 expression rates compared to the others (p-value=0.001). Conclusion: p53 over-expression is observed in a broad spectrum of meningiomas. High expression levels lead to an aggressive biological behavior of the malignancy (combined with increased mitotic rates), especially in atypical and anaplastic sub-types that also have a high recurrence rate.

Cite

CITATION STYLE

APA

Roukas, D., Kouzoupis, A., Spyropoulou, D., Papanastasiou, G., Tsiambas, E., Tsouvelas, G., … Kavantzas, N. (2022). P53 Suppressor Gene Tissue Microarray-based Protein Expression Analysis in Meningiomas. In Vivo, 36(5), 2205–2210. https://doi.org/10.21873/invivo.12946

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free