Application Of Serum Protein Fingerprint Model And Support Vector Machine In Diagnosis Of Thyroid Carcinoma

Thyroid carcinoma is a common malignant tumor in head and neck and the most common endocrine malignancy, which represents 1 % of all malignant diseases but 91.5% of all endocrine malignancies.Recent statistic shows that thyroid carcinoma's incidence is on the rise. More than 90% of primary thyroid carcinomas are differentiated papillary or follicular types, 5 year survival rate of which would be as high as 75% when patients could receive early operation therapy. Therefore, early detection and diagnosis is very important to prognosis of thyroid carcinoma. However, effective screening of thyroid carcinoma and preoperatively distinction between benign and malignant lesions nowadays remain a difficult task by using imagine technique ,fine-needle aspiration. So it is highly demanded to develop more accurate initial diagnostic tests and find new biomarkers for thyroid carcinoma detection and diagnosis.Advance in protemics study present new horizon and novel techniques for diagnosis of carcinoma and detection of biomarker. Because of the multifactorial nature of the thyroid carcinoma ,it is very likely that a combination of several markers will be necessary to effectively detect and diagnose thyroid carcinoma. Proteomic methods detect the functioning unit of expressed genes, through biochemical analysis of cellular proteins, to provide a protein fingerprint. The proteomic reflects...