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Multi-photon Imaging of Tumor Cell Invasion in an Orthotopic Mouse Model of Oral Squamous Cell Carcinoma
Published on: July 25, 2011
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An Automated Approach to Analyze MMP1 Expression in Oral Squamous Cell Carcinoma Using Fluorescence in Situ
Murittige Gopalakrishna Madhura1,2,3, Kotrashetti S Vijayalakshmi3,4, Kumar B Veerendra3,5
1Department of Oral Pathology and Microbiology, Maratha Mandal's NGH Institute of Dental Sciences and Research Centre, Belagavi, India.
Asian Pacific Journal of Cancer Prevention : APJCP
|July 29, 2025
Summary
Matrix metalloproteinase 1 (MMP1) is significantly overexpressed in oral squamous cell carcinoma (OSCC) compared to normal oral tissues. A novel digital algorithm was developed to quantify MMP1 expression in OSCC using FISH analysis.
Area of Science:
- Oral pathology
- Molecular diagnostics
- Biomarker research
Background:
- Oral squamous cell carcinoma (OSCC) is a prevalent malignancy.
- Matrix metalloproteinase 1 (MMP1) is implicated in tumor progression.
- Accurate quantification of MMP1 expression is crucial for OSCC diagnosis and prognosis.
Purpose of the Study:
- To evaluate MMP1 expression in OSCC using fluorescence in situ hybridization (FISH).
- To develop a computational algorithm for validating FISH images of MMP1.
- To establish a quantitative method for MMP1 assessment in oral tissues.
Main Methods:
- FISH analysis of MMP1 expression in 20 OSCC and 24 normal oral mucosal (NOM) samples.
- Manual microscopic evaluation by two independent pathologists.
- Development of a computer algorithm for digital quantification of FISH images.
Main Results:
- MMP1 expression was significantly higher in OSCC tissues compared to NOM tissues (p=0.01).
- Staining intensity scores were significantly elevated in OSCC.
- ROC analysis indicated 80% sensitivity and 54.2% specificity.
- Digital quantification demonstrated model precision of 66.67% and recall of 82.36%.
Conclusions:
- MMP1 is demonstrably overexpressed in OSCC.
- A novel, objective digital method for quantifying MMP1 expression in OSCC has been established.
- This quantitative approach aids in differentiating OSCC from normal oral mucosa.

