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Correlation between ploidy status using flow cytometry and nucleolar organizer regions (AgNORs) in benign and malignant epithelial odontogenic tumors : Diagnostic accuracy study

Thesis

Last updated: 05 Jan 2025

Subjects

-

Tags

Oral & Maxillofacial Pathology

Authors

Badawi, Sara Ahmad

Accessioned

2018-08-26 05:38:32

Available

2018-08-26 05:38:32

type

M.Sc. Thesis

Abstract

Objective:Differentiation between the aggressive benign odontogenic tumors and their malignant counterparts is controversial and difficult. While flow cytometry (FCM) allowed DNA analysis in neoplasia, argyrophilic organizer regions (AgNORs) number and/or size in a nucleus are correlated with the ribosomal gene activity and therefore with cellular proliferation. The aim of this research was to study the diagnostic accuracy of FCM and AgNORs staining in differentiating between benign and malignant epithelial odontogenic tumors and to correlate between these two interventions. Design:Sixteen benign cases [8 cases of ameloblastoma (AB) and 8 cases of keratocystic odontogenic tumor (KCOT)] and 13 malignant epithelial odontogenic tumors [8 cases of ameloblastic carcinoma (ABC) and 5 cases of clear cell odontogenic carcinoma(CCOC)] were included in the current study. For FCM analysis, a single cell suspension from FFPE tumors was prepared according to a modified method described by Hedley (1989) and AgNORs staining were performed in accordance to the Ploton protocol (1986). Analysis of AgNORs was performed using both quantitative and qualitative methods. Results:The work revealed that all the examined tumors were diploid, except for 40% of CCOC cases. The SPF value, AgNORs count and AgNORs area/cell showed statistically significant difference on comparing benign and malignant groups. A weak positive correlation was observed between SPF and AgNORs count. Conclusion:The SPF value was considered to be more sensitive and specific in differentiation between aggressive benign and malignant epithelial odontogenic tumors in comparison to AgNORs counting.

Issued

1 Jan 2016

DOI

http://dx.doi.org/10.21473/iknito-space/39854

Details

Type

Thesis

Created At

28 Jan 2023