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Description

Oral cancer accounts to 20–30% of all cancers in India. The major difficulty in managing carcinomas is due to failure in the control and detection of metastases (>90% deaths). Cancer stem cells (CSCs) are tumor-initiating cells that survive even after extensive radiotherapy and chemotherapy. Recently, the use of computer-assisted quantification methods employing image processing is drawing attention wherein information can be automatically extracted from the immunostained digitized images. The aim of the study was to assess the metastatic risk of Oral Squamous Cell Carcinoma (OSCC) by the phenotypic evaluation and gene expression of CD44 and CD133 biomarkers with clinical correlation. The study also assessed the role of Cancer Stem Cells through phenotypic evaluation and gene expression of CD44 and CD133 in metastasis of OSCC.

Disciplines

Clinical Trials | Health and Medical Administration | Health and Physical Education | Health Services Research | Medical Education | Medical Sciences | Medicine and Health Sciences | Nursing | Oral Biology and Oral Pathology | Primary Care | Scholarship of Teaching and Learning | Teacher Education and Professional Development

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MATLAB based phenotypic evaluation and gene expression of CD44 and CD133 biomarkers in the prediction of Oral Squamous Cell Carcinoma metastasis

Oral cancer accounts to 20–30% of all cancers in India. The major difficulty in managing carcinomas is due to failure in the control and detection of metastases (>90% deaths). Cancer stem cells (CSCs) are tumor-initiating cells that survive even after extensive radiotherapy and chemotherapy. Recently, the use of computer-assisted quantification methods employing image processing is drawing attention wherein information can be automatically extracted from the immunostained digitized images. The aim of the study was to assess the metastatic risk of Oral Squamous Cell Carcinoma (OSCC) by the phenotypic evaluation and gene expression of CD44 and CD133 biomarkers with clinical correlation. The study also assessed the role of Cancer Stem Cells through phenotypic evaluation and gene expression of CD44 and CD133 in metastasis of OSCC.