EVALUATING UTILITY OF PROTEIN S100A7 IN PREDICTING PROGRESSION OF ORAL EPITHELIAL DYSPLASIA
Autor: | Art F. Y. Poon, Jerrold E. Armstrong, Lachlan McLean, Mark R. Darling, Linda Jackson |
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Rok vydání: | 2019 |
Předmět: |
Oral Dysplasia
medicine.medical_specialty Epithelial dysplasia business.industry Cancer medicine.disease Malignancy Gastroenterology Pathology and Forensic Medicine Dysplasia Internal medicine medicine Carcinoma Immunohistochemistry Biomarker (medicine) Radiology Nuclear Medicine and imaging Dentistry (miscellaneous) Surgery Oral Surgery business |
Zdroj: | Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 128:e75 |
ISSN: | 2212-4403 |
DOI: | 10.1016/j.oooo.2019.02.185 |
Popis: | Objectives Protein biomarker, S100A7, in oral dysplasia and squamous cell carcinoma has shown some predictive value for the transformation of dysplasia to cancer. The objectives of this study are: (1) to determine a correlation between the expression of S100A7 and histologic grade of oral dysplastic lesions using immunohistochemistry and an algorithm based on image analysis; and (2) to evaluate whether S100A7 can be utilized as a reliable predictor for progression of low grade oral dysplastic lesions or transformation to carcinoma. Findings 8 low grade lesions evolved into high grade lesions, and 7 high grade lesions evolved into higher grade lesions, over time. For the low grade lesions, the average S100A7 immunostaining score was 5.6; three were graded low risk and 5 were graded medium risk by algorithm. One low grade and 3 high grade lesions did not progress and remained stable. For these, the average S100A7 immunostaining score was 5.8; one was graded low risk and 3 were graded medium risk by algorithm. Preliminary analysis suggests S100A7 has increased expression in higher risk lesions. Conclusion The identification of a reliable, quantitative measure in the diagnosis of dysplasia and the ability to predict the likelihood of transformation to malignancy will potentially lead to more individualized treatment and better patient outcomes. |
Databáze: | OpenAIRE |
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