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Expression of maspin in invasive fungal rhinosinusitis

Published online by Cambridge University Press:  29 December 2016

Y D Huang
Affiliation:
Department of Otolaryngology – Head and Neck Surgery, PLA 118 Hospital, Wenzhou, Zhejiang Province
H W Yu
Affiliation:
ENT Department, Huzhou Central Hospital, Zhejiang Province
S W Xia
Affiliation:
Department of Otolaryngology – Head and Neck Surgery, PLA 118 Hospital, Wenzhou, Zhejiang Province
Z H Kang
Affiliation:
Department of Otolaryngology – Head and Neck Surgery, PLA 118 Hospital, Wenzhou, Zhejiang Province
Y S He
Affiliation:
ENT Department, Huzhou Central Hospital, Zhejiang Province
D Y Han*
Affiliation:
ENT Institute, PLA General Hospital, Beijing, China
*
Address for correspondence: Dr Dong Yi Han, ENT Institute, PLA General Hospital, Beijing 100039, China Fax: +86 10 6693 6193 E-mail: [email protected]

Abstract

Objective:

This study aimed to test the expression of maspin in invasive fungal rhinosinusitis and explore its value in diagnosing invasive fungal rhinosinusitis.

Methods:

Forty-two fungal rhinosinusitis cases (12 invasive and 30 non-invasive) were selected as the experimental group, and 30 chronic rhinosinusitis cases comprised the control group. Maspin expression was assessed in nasal mucous membrane specimens by immunohistochemical staining.

Results:

Compared with the control group, maspin expression was down-regulated in the fungal rhinosinusitis group (p < 0.05). Furthermore, the staining score for maspin was lowest in the invasive fungal rhinosinusitis group, as compared with both the non-invasive fungal rhinosinusitis group and the control group (p < 0.05). A maspin staining score of 5.70 was the critical value for diagnosis of invasive fungal rhinosinusitis, with sensitivity and specificity of 91.7 per cent and 88.3 per cent, respectively.

Conclusion:

The results of this study suggest that the maspin staining score may be a biomarker for effective and rapid diagnosis of invasive fungal rhinosinusitis.

Type
Main Articles
Copyright
Copyright © JLO (1984) Limited 2016 

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