Browsing by Author "Božic, Vesna (6701633314)"
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Publication Defining the value of CD56, CK19, Galectin 3 and HBME-1 in diagnosis of follicular cell derived lesions of thyroid with systematic review of literature(2015) ;Dunderović, Duško (56515503700) ;Lipkovski, Jasmina Marković (6603725388) ;Boričic, Ivan (6603959716) ;Soldatović, Ivan (35389846900) ;Božic, Vesna (6701633314) ;Cvejić, Dubravka (7003808274)Tatić, Svetislav (6701763955)Background: Nodular follicular lesions of thyroid gland comprise benign and malignant neoplasms, as well as some forms of hyperplasia. "Follicular" refers to origin of cells and in the same time to growth pattern - building follicles. Nodular follicular thyroid lesions have in common many morphological features, therefore attempts were made to define additional criteria for distinction between follicular adenoma, follicular carcinoma and follicular variant of papillary carcinoma. Increasing number of immunohistochemical markers is in the continual process of evaluation. Methods: Tissue microarrays incorporating, total 201 cases, out of which 122 malignant and 79 benign follicular lesions, including neoplastic and non-neoplastic, were constructed and immunostained with antibodies to CD56, CK19, Galectin-3, HBME-1. Tissue cores were exclusively being acquired from tumour/lesion on interface with normal thyroid tissue. A systematic review of literature was done for period from the year 2001 to present time. Results: All analysed markers may make a difference between benign lesions/tumours from differentiated thyroid carcinomas (p = <0.01, for all markers). Expression of all markers is significantly higher in papillary carcinoma than in follicular adenoma (p < 0.01). Statistically significant difference in expression of Galectin-3 and CD56 between follicular carcinoma and follicular adenoma was registered (p = 0.043; p = 0.028, respectively). The only marker which expression showed statistically significant difference between adenoma and carcinoma of Hurthle cells was Galectin 3 (p = 0.041). CK19 and HBME-1 were significantly expressed more in papillary carcinoma as compared to follicular carcinoma. Conclusion: Galectin 3 is most sensitive marker for malignancy, while loss of expression of CD56 is very specific for malignancy. Expected co-expression for combination of markers in diagnosis of follicular lesions decreases sensitivity and increases specificity for malignancy. © 2015 Dunderović et al. - Some of the metrics are blocked by yourconsent settings
Publication Malignant risk stratification of thyroid FNA specimens with indeterminate cytology based on molecular testing(2015) ;Paskaš, Svetlana (24512570500) ;Jankovic, Jelena (55555671900) ;Živaljevic, Vladan (6701787012) ;Tatic, Svetislav (6701763955) ;Božic, Vesna (6701633314) ;Nikolic, Aleksandra (57194842918) ;Radojkovic, Dragica (6602844151) ;Savin, Svetlana (35568292500)Cvejic, Dubravka (7003808274)BACKGROUND Fine-needle aspiration (FNA) has been employed for many years for examining thyroid nodules, and the cytology of aspirates is the primary determinant for whether thyroidectomy is indicated. Fifteen to thirty percent of thyroid nodules, not being clearly benign or malignant, fall into an indeterminate category. The main goals of molecular diagnostics for thyroid nodules are to prevent unnecessary surgery in patients with benign nodules and to stop patients with malignant nodules from being subjected to repeated operations. METHODS This study was designed to evaluate the diagnostic utility of 4 markers in thyroid FNA cytology via testing for the BRAF V600E mutation and the expression of microRNA-221, microRNA-222, and galectin-3 protein in FNA samples with indeterminate cytology. RESULTS A predictor model distinguishing benign samples from malignant samples on the basis of the 4 aforementioned markers was formulated. This decision model provided a sensitivity of 73.5%, a specificity of 89.8%, and a diagnostic accuracy of 75.7%. The positive predictive value was 80.6%, and the negative predictive value was 85.5%; this suggested that the prediction had good reliability. CONCLUSIONS One hundred twenty FNA samples were examined, and 62 nodules were classified as benign with the proposed diagnostic algorithm. This resulted in a reduction of the initial 120 patients to 58 and thus decreased by half the number of persons undergoing surgery. Cancer (Cancer Cytopathol) 2015;123:471-9. © 2015 American Cancer Society. Based on the BRAF V600E mutation status, galectin-3 protein expression, and microRNA-221/222 expression, a predictor model distinguishing benign fine-needle aspiration samples with indeterminate cytology from malignant ones has been developed. © 2015 American Cancer Society. - Some of the metrics are blocked by yourconsent settings
Publication Malignant risk stratification of thyroid FNA specimens with indeterminate cytology based on molecular testing(2015) ;Paskaš, Svetlana (24512570500) ;Jankovic, Jelena (55555671900) ;Živaljevic, Vladan (6701787012) ;Tatic, Svetislav (6701763955) ;Božic, Vesna (6701633314) ;Nikolic, Aleksandra (57194842918) ;Radojkovic, Dragica (6602844151) ;Savin, Svetlana (35568292500)Cvejic, Dubravka (7003808274)BACKGROUND Fine-needle aspiration (FNA) has been employed for many years for examining thyroid nodules, and the cytology of aspirates is the primary determinant for whether thyroidectomy is indicated. Fifteen to thirty percent of thyroid nodules, not being clearly benign or malignant, fall into an indeterminate category. The main goals of molecular diagnostics for thyroid nodules are to prevent unnecessary surgery in patients with benign nodules and to stop patients with malignant nodules from being subjected to repeated operations. METHODS This study was designed to evaluate the diagnostic utility of 4 markers in thyroid FNA cytology via testing for the BRAF V600E mutation and the expression of microRNA-221, microRNA-222, and galectin-3 protein in FNA samples with indeterminate cytology. RESULTS A predictor model distinguishing benign samples from malignant samples on the basis of the 4 aforementioned markers was formulated. This decision model provided a sensitivity of 73.5%, a specificity of 89.8%, and a diagnostic accuracy of 75.7%. The positive predictive value was 80.6%, and the negative predictive value was 85.5%; this suggested that the prediction had good reliability. CONCLUSIONS One hundred twenty FNA samples were examined, and 62 nodules were classified as benign with the proposed diagnostic algorithm. This resulted in a reduction of the initial 120 patients to 58 and thus decreased by half the number of persons undergoing surgery. Cancer (Cancer Cytopathol) 2015;123:471-9. © 2015 American Cancer Society. Based on the BRAF V600E mutation status, galectin-3 protein expression, and microRNA-221/222 expression, a predictor model distinguishing benign fine-needle aspiration samples with indeterminate cytology from malignant ones has been developed. © 2015 American Cancer Society.
