Malignant Risk Stratification of Thyroid FNA Specimens With Indeterminate Cytology Based on Molecular Testing
Samo za registrovane korisnike
2015
Autori
Paskas, SvetlanaJanković, Jelena
Zivaljević, Vladan
Tatić, Svetislav
Bozić, Vesna
Nikolić, Aleksandra
Radojković, Dragica
Savin, Svetlana
Cvejić, Dubravka
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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 sp...ecificity 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.
Ključne reči:
thyroid cancer / microRNA 222 (miR-222) / microRNA 221 (miR-221) / indeterminate cytology / galectin-3 / fine-needle aspirates / BRAFIzvor:
Cancer Cytopathology, 2015, 123, 8, 471-479Izdavač:
- Wiley, Hoboken
Finansiranje / projekti:
- Molekularna karakterizacija tumora štitaste žlezde: biološki i klinički aspekti (RS-MESTD-Basic Research (BR or ON)-173050)
- Kompleksne bolesti kao model sistem za proučavanje modulacije fenotipa-strukturna i funkcionalna analiza molekularnih biomarkera (RS-MESTD-Basic Research (BR or ON)-173008)
DOI: 10.1002/cncy.21554
ISSN: 1934-662X
PubMed: 25924719
WoS: 000361824600006
Scopus: 2-s2.0-84952051465
Kolekcije
Institucija/grupa
Institut za molekularnu genetiku i genetičko inženjerstvoTY - JOUR AU - Paskas, Svetlana AU - Janković, Jelena AU - Zivaljević, Vladan AU - Tatić, Svetislav AU - Bozić, Vesna AU - Nikolić, Aleksandra AU - Radojković, Dragica AU - Savin, Svetlana AU - Cvejić, Dubravka PY - 2015 UR - https://imagine.imgge.bg.ac.rs/handle/123456789/827 AB - 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. PB - Wiley, Hoboken T2 - Cancer Cytopathology T1 - Malignant Risk Stratification of Thyroid FNA Specimens With Indeterminate Cytology Based on Molecular Testing EP - 479 IS - 8 SP - 471 VL - 123 DO - 10.1002/cncy.21554 ER -
@article{ author = "Paskas, Svetlana and Janković, Jelena and Zivaljević, Vladan and Tatić, Svetislav and Bozić, Vesna and Nikolić, Aleksandra and Radojković, Dragica and Savin, Svetlana and Cvejić, Dubravka", year = "2015", abstract = "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.", publisher = "Wiley, Hoboken", journal = "Cancer Cytopathology", title = "Malignant Risk Stratification of Thyroid FNA Specimens With Indeterminate Cytology Based on Molecular Testing", pages = "479-471", number = "8", volume = "123", doi = "10.1002/cncy.21554" }
Paskas, S., Janković, J., Zivaljević, V., Tatić, S., Bozić, V., Nikolić, A., Radojković, D., Savin, S.,& Cvejić, D.. (2015). Malignant Risk Stratification of Thyroid FNA Specimens With Indeterminate Cytology Based on Molecular Testing. in Cancer Cytopathology Wiley, Hoboken., 123(8), 471-479. https://doi.org/10.1002/cncy.21554
Paskas S, Janković J, Zivaljević V, Tatić S, Bozić V, Nikolić A, Radojković D, Savin S, Cvejić D. Malignant Risk Stratification of Thyroid FNA Specimens With Indeterminate Cytology Based on Molecular Testing. in Cancer Cytopathology. 2015;123(8):471-479. doi:10.1002/cncy.21554 .
Paskas, Svetlana, Janković, Jelena, Zivaljević, Vladan, Tatić, Svetislav, Bozić, Vesna, Nikolić, Aleksandra, Radojković, Dragica, Savin, Svetlana, Cvejić, Dubravka, "Malignant Risk Stratification of Thyroid FNA Specimens With Indeterminate Cytology Based on Molecular Testing" in Cancer Cytopathology, 123, no. 8 (2015):471-479, https://doi.org/10.1002/cncy.21554 . .