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MMP11 as a Prognostic Indicator for Inverted Papilloma Histologic Grade and Recurrence
Kush Panara1, Jadyn Wilensky1, Alan D Workman2
1Department of Otorhinolaryngology-Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
The Laryngoscope
|August 22, 2025
Summary
Matrix metalloproteinase-11 (MMP11) expression is elevated in sinonasal inverted papilloma (IP) with severe dysplasia and correlates with higher recurrence risk. MMP11 may serve as a biomarker to identify patients needing closer monitoring for IP recurrence.
Area of Science:
- Oncology
- Biomarkers
- Extracellular Matrix Remodeling
Background:
- Inverted papilloma (IP) is a benign sinonasal tumor with high recurrence rates and malignant potential.
- Current biomarkers for predicting IP recurrence or severity are lacking.
- Matrix metalloproteinase-11 (MMP11) is implicated in tumor progression and extracellular matrix remodeling.
Purpose of the Study:
- To investigate the correlation between MMP11 expression and the histologic severity of IP.
- To assess the relationship between MMP11 expression and the risk of IP recurrence.
Main Methods:
- Retrospective analysis of patient data and tumor specimens (normal sinus tissue, IP without dysplasia, IP with severe dysplasia, SCC) from 2008-2023.
- Immunohistochemical staining for MMP11 was performed on patient specimens.
- Quantitative analysis of MMP11 expression using DAB-Quant software.
Main Results:
- MMP11 expression was significantly higher in IP with severe dysplasia and SCC compared to IP without dysplasia.
- Elevated MMP11 expression in initial resection specimens was associated with a higher risk of recurrence.
- High MMP11 expression correlated with a shorter time to recurrence, independent of histologic grade.
Conclusions:
- MMP11 expression is a potential biomarker for increased IP histologic grade and recurrence risk.
- Elevated MMP11 levels may help identify patients at higher risk for IP recurrence.
- This finding could inform targeted surveillance and treatment strategies for IP.

