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 ORIGINAL ARTICLE
Year : 2010  |  Volume : 47  |  Issue : 2  |  Page : 166-172

Molecular analysis of oral squamous cell carcinoma: A tissue microarray study


1 Department of Oral Pathology, Manipal College of Dental Science, Manipal University, Manipal, Karnataka - 576 104, India
2 Department of Biostatistics, Kasturba Medical College and Hospital, Manipal, Karnataka - 576 104, India

Correspondence Address:
M C Solomon
Department of Oral Pathology, Manipal College of Dental Science, Manipal University, Manipal, Karnataka - 576 104
India
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Source of Support: International Union against Cancer, Conflict of Interest: None


DOI: 10.4103/0019-509X.63013

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Background : An intriguing aspect of Oral Squamous Cell Carcinomas (OSCC) is its behavioral disparity. Among patients who present with the similar clinicopathological features, some have a better prognosis than others. Identification of molecular alterations responsible for this may contribute to a greater understanding of tumor behavior. Tissue microarray (TMA) approach is a high throughput technology that enables analysis of multiple molecular targets simultaneously without causing any morphological alteration to tissue specimens. Aim and Objective : To assess the tumor behavior based on the expression of p53, Bcl-2 and E-cadherin using TMA technology. Settings and Design : This was a case series analysis using tissue microarray technology. Materials and Methods : Formalin-fixed Paraffin-embedded (FFPE) tissue blocks of histological proven cases of OSCC (n = 30) were retrieved from the department archives. Tissue microarray blocks were constructed; 4 ΅m thick sections were cut and immunostained for p53, Bcl-2 and E-cadherin. Stastistical Analysis : Mean (SD) was used to summarize age, frequencies with percentages was used to summarize categorical variable and Chi-square test was used to find association between histopathology evaluation and expression of Bcl-2, p53, E-cadherin. Results and Conclusion : Bcl-2 was the most frequently expressed biomarker. The expression of Bcl-2 was inversely related to the degree of differentiation (P = 0.005). The follow-up data showed that 63.6% of the cases that were positive for both Bcl-2 and E-cadherin were disease-free following treatment. Tissue microarray technology is a promising way to analyse multiple biomarkers simultaneously. The molecular data obtained from TMA will enhance diagnosis, provide better prognostication and will improve cancer treatment for individual patients.






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