1. Age and Expression of CD163 and Colony-Stimulating Factor 1 Receptor (CD115) Are Associated With the Biological Behavior of Central Giant Cell Granuloma.
- Author
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Kahn A, Chaushu G, Ginene L, and Vered M
- Subjects
- Adult, Cohort Studies, Female, Humans, Male, Middle Aged, Retrospective Studies, CD163 Antigen, Antigens, CD biosynthesis, Antigens, Differentiation, Myelomonocytic biosynthesis, Granuloma, Giant Cell metabolism, Granuloma, Giant Cell pathology, Jaw Diseases metabolism, Jaw Diseases pathology, Receptor, Macrophage Colony-Stimulating Factor biosynthesis, Receptors, Cell Surface biosynthesis
- Abstract
Purpose: Central giant cell granulomas (CGCGs) are clinically classified as nonaggressive (nA-CGCGs) and aggressive (A-CGCGs). However, histopathologically, all lesions feature spindle mononuclear cells (MCs) and multinuclear giant cells (GCs) in a hemorrhage-rich stroma. We aimed to investigate the presence of cells with a monocyte- or macrophage-related phenotype and, together with clinical variables, to examine their predictive potential for the biological behavior of CGCGs., Patients and Methods: For our investigation, we implemented a retrospective cohort study. Sections were immunohistochemically stained for colony-stimulating factor 1 receptor (CSF-1R) (CD115), CD163, CD68, and nuclear factor κB. The clinical variables included age, gender, and location of lesions. Associations between immunostains, clinical variables, and CGCG aggressiveness were analyzed by the Wilcoxon (Mann-Whitney) exact test and t test. Significant variables were further analyzed by a logistic regression model followed by receiver operating characteristic (ROC) curve analysis for diagnostic sensitivity. Significance was set at P < .05., Results: Patients with A-CGCGs (n = 36) were younger than those with nA-CGCGs (n = 31) (P = .002). Logistic regression showed that CD163-GC (β = -0.870, P = .031) and CD115-MC (β = -0.783, P = .027) had a significant protection effect (odds ratio, 0.419 [95% confidence interval, 0.190 to 0.925], and odds ratio, 0.457 [95% confidence interval, 0.229 to 0.913], respectively). ROC curve analysis showed that CD163-GC and CSF-1R (CD115)-MC combined were the best predictor in distinguishing nA-CGCGs from A-CGCGs (area under ROC curve, 0.814; P < .001). At the optimal cutoff value (0.408), sensitivity was 87% and specificity, 65%., Conclusions: Increasing age and high expression of CD163-GC and CSF-1R (CD115)-MC can serve as significant predictors of nA-CGCGs. A functional link between CD163-GC and the characteristic areas of extravasation of erythrocytes is discussed., (Copyright © 2017 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.)
- Published
- 2017
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