EventsThe 3rd International Electronic Conference on Biomolecules
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This submission belongs to the session 2. Molecular Mechanisms in Cellular Processes of the event The 3rd International Electronic Conference on Biomolecules
Published date
12 Apr, 2024
Academic Editor
author-avatarJurg Bahler
Citation
Sowmya SV, Tumor budding—A histomorphological representation of Epithelial–Mesenchymal Transition mechanism in Metastasis of Oral Squamous Cell Carcinoma, in Proceedings of The 3rd International Electronic Conference on Biomolecules, 23 April–25 April 2024, MDPI: Basel, Switzerland
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Tumor budding—A histomorphological representation of Epithelial–Mesenchymal Transition mechanism in Metastasis of Oral Squamous Cell Carcinoma

1. Department of Oral & Maxillofacial Pathology & Oral Microbiology, Faculty of Dental Sciences, MS Ramaiah University of Applied Sciences, Bangalore- 560054, India
Abstract

Background: Over 90% of oral cancer deaths are due to metastases, facilitated by a mechanism, epithelial–mesenchymal transition (EMT), that demonstrates a mesenchyme-like phenotype of epithelial cells. Prompt metastasis prediction would navigatesurgeons in avoiding unwanted or aggressive treatment for low- and high-risk patients. Recently, the use of image processing is gaining popularity.

Aim: To assess the metastatic risk of Oral Squamous Cell Carcinoma (OSCC) by the quantification of tumor buds and epithelial–mesenchymal transition biomarker expression using MATLAB software

Objectives:

  • To evaluate pan CK-stained tumor buds and the expression of epithelial–mesenchymal transition biomarkers, E-Cadherin, β-Catenin, MMP-2 and MMP-9, using immunohistochemistry;
  • To quantify and correlate tumor buds and the protein expression of EMT biomarkers using MATLAB software.

Methodology: Pan CK-stained tumor buds and E-Cadherin, β-Catenin, MMP-2, and MMP-9 expression were evaluated immunohistochemically on 40 archival tissue samples of OSCC (20 metastatic and non-metastatic groups). Photomicrographs of immunostained OSCC cases were captured and subjected to texture and color segmentation using image processing in MATLAB software.

Statistical analysis: Statistical analysis using Statistical Package for the Social Sciences (SPSS) software was carried out for the mean scores.

Results: Metastatic OSCC showed a statistically significantly high number of tumor buds (90%). There was a significant decrease in the proportion and intensity of positive cells in E-Cadherin and β- Catenin (p=0.00) and an increase in MMP2 and MMP9 protein expression in metastatic OSCC (p=0.00).

Conclusion: This study is the first of its kind wherein image processing using texture and color segmentation in MATLAB has been used effectively to quantify the phenotypic protein expression of immunostained OSCC tumor buds and EMT markers. The correlation of tumor buds with EMT expression supports the mechanism of EMT responsible for OSCC metastasis, thereby facilitating surgeons in arriving at a definitive treatment plan.

Keywords
Epithelial- Mesenchymal Transition
Image Processing
Oral Cancer
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