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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Molecular Classification of Thyroid Nodules with Indeterminate Cytology: Development and Validation of a Highly Sensitive and Specific New miRNA-Based Classifier Test Using Fine-Needle Aspiration Smear Slides

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dos Santos, Marcos Tadeu [1, 2] ; Buzolin, Ana Ligia [2] ; Gama, Ricardo Ribeiro [3, 1] ; Albino da Silva, Eduardo Caetano [4] ; Dufloth, Rozany Mucha [4] ; Alves Figueiredo, David Livingstone [5] ; Carvalho, Andre Lopes [3, 1]
Total Authors: 7
[1] Barretos Canc Hosp, Mol Oncol Res Ctr, Barretos, SP - Brazil
[2] Onkos Mol Diagnost, Dept Res & Dev, 1805 Ave Doutora Nadir Aguiar, BR-14056680 Ribeirao Preto, SP - Brazil
[3] Barretos Canc Hosp, Dept Head & Neck Surg, Barretos, SP - Brazil
[4] Barretos Canc Hosp, Dept Pathol, Barretos, SP - Brazil
[5] Midwestern State Univ UNICTR, Guarapuava, PR - Brazil
Total Affiliations: 5
Document type: Journal article
Source: THYROID; v. 28, n. 12 NOV 2018.
Web of Science Citations: 4

Background: Thyroid nodules can be identified in up to 68% of the population. Fine-needle aspiration (FNA) cytopathology classifies 20%-30% of nodules as indeterminate, and these are often referred for surgery due to the risk of malignancy. However, histological postsurgical reports indicate that up to 84% of cases are benign, highlighting a high rate of unnecessary surgeries. We sought to develop and validate a microRNA (miRNA)-based thyroid molecular classifier for precision endocrinology (mir-THYpe) with both high sensitivity and high specificity, to be performed on the FNA cytology smear slide with no additional FNA. Methods: The expression of 96 miRNA candidates from 39 benign/39 malignant thyroid samples, (indeterminate on FNA) was analyzed to develop and train the mir-THYpe algorithm. For validation, an independent set of 58 benign/37 malignant FNA smear slides (also classified as indeterminate) was used. Results: In the training set, with a 10-fold cross-validation using only 11 miRNAs, the mir-THYpe test reached 89.7% sensitivity, 92.3% specificity, 90.0% negative predictive value and 92.1% positive predictive value. In the FNA smear slide validation set, the mir-THYpe test reached 94.6% sensitivity, 81.0% specificity, 95.9% negative predictive value, and 76.1% positive predictive value. Bayes' theorem shows that the mir-THYpe test performs satisfactorily in a wide range of cancer prevalences. Conclusions: The presented data and comparison with other commercially available tests suggest that the mir-THYpe test can be considered for use in clinical practice to support a more informed clinical decision for patients with indeterminate thyroid nodules and potentially reduce the rates of unnecessary thyroid surgeries. (AU)

FAPESP's process: 15/07590-3 - Molecular classification of indeterminate thyroid nodules by microRNA profiling
Grantee:Marcos Tadeu dos Santos
Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE