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Multicentric characterization and validation of a molecular diagnostic test for the classification of indeterminate thyroid nodules based on microRNA profiling

Grant number: 17/16417-9
Support type:Research Grants - Innovative Research in Small Business - PIPE
Duration: August 01, 2018 - July 31, 2020
Field of knowledge:Health Sciences - Medicine
Principal Investigator:Marcos Tadeu dos Santos
Grantee:Marcos Tadeu dos Santos
Company:Onkos Diagnósticos Moleculares Ltda. - ME
CNAE: Pesquisa e desenvolvimento experimental em ciências físicas e naturais
Atividades de serviços de complementação diagnóstica e terapêutica
City: Ribeirão Preto
Assoc. researchers:Ana Lígia Buzolin ; André Lopes Carvalho ; Cristiano Claudino Oliveira ; Cristovam Scapulatempo Neto ; David Livingstone Alves Figueiredo ; Edna Teruko Kimura ; Fabiano Mesquita Callegari ; Gabriela Brenta ; Gisah Amaral de Carvalho ; Gláucia Maria Ferreira da Silva Mazeto ; Icleia Siqueira Barreto ; Laura Sterian ; Léa Maria Zanini Maciel ; Mauro Tadeu Ajaj Saieg ; Ricardo Ribeiro Gama
Associated research grant:15/07590-3 - Molecular classification of indeterminate thyroid nodules by microRNA profiling, AP.PIPE
Associated scholarship(s):18/24002-6 - Multicentric characterization and validation of a molecular diagnostic test for the classification of indeterminate thyroid nodules based on microRNA profiling, BP.TT

Abstract

Thyroid nodules may be found by palpation in 1 to 7% of the population. Brazilian and international guidelines recommend that nodes greater than 1 cm in patients with normal thyroid function, should be drained through Fine Needle Aspiration (FNA). About 65 to 80% of punctured nodules are considered benign and 5 to 15% malignant. However, between 15 and 30% are classified as indeterminate and they are directed to surgical thyroidectomy, but postsurgical final histological analysis reclassifies 70 to 80 % of the cases as benign, showing the high rate of unnecessary surgeries. Several molecular techniques have been developed trying to help to solve this problem. Besides the high costs, none of these tests is made in Brazil and some techniques have limited specificity and sensitivity, limiting their usage for directing the clinical conduct. At the project developed with FAPESP grant for PIPE Fase 1, in a partnership with the Cancer Hospital of Barretos and the Swiss startup SimplicityBio, ONKOS developed the mir-THYpe®, a new test for classification of indeterminate thyroid nodules. Through the analysis of molecular signatures generated by the expression profile of 12 microRNAs (microRNA profiling), mir-THYpe® showed 95% sensibility, 71% specificity, 91% of negative predictive value (NPV), 82% of positive predictive value, with 85% accuracy, highlighting its potential to help the clinical management of patients and its efficiency and competitiveness when compared to other commercially available tests. However, it was initially validated with a group of only 67 samples and now a bigger and more diverse cohort is necessary to generate more robust data that will evidence its efficiency. Thus, the aim of this project is to do a multicenter validation of mir-THYpe® and the optimization of the algorithm through different analysis strategies and data modeling. About 48,000 surgeries are performed unnecessarily each year in Brazil and generate an expense of R$ 135 million, so the potential clinical impact in reducing this number of unnecessary surgeries and the amount that the health system can save, besides having more affordable price than competitors, once it is a national technology, are factors that contribute to the success of this product. (AU)

Articles published in Agência FAPESP about the research grant
Artificial intelligence at the service of cancer diagnosis 
Articles published in Pesquisa para Inovação FAPESP about the project:
Artificial intelligence at the service of cancer diagnosis 
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