Clinical decision support analysis of a microRNA-based thyroid molecular classifier: A real-world, prospective and multicentre validation study.

BACKGROUND: The diagnosis of cancer in Bethesda III/IV thyroid nodules is challenging as fine-needle aspiration (FNA) has limitations, and these cases usually require diagnostic surgery. As approximately 77% of these nodules are not malignant, a diagnostic test accurately identifying benign thyroid nodules can reduce "potentially unnecessary" surgery rates. We have previously reported the development and validation of a microRNA-based thyroid classifier (mir-THYpe) with high sensitivity and specificity, which could be performed directly from FNA smear slides. We sought to evaluate the performance of this test in real-world clinical routine to support clinical decisions and to reduce surgery rates. METHODS: We designed a real-world, prospective, multicentre study. Molecular tests were performed with FNA samples prepared at 128 cytopathology laboratories. Patients were followed-up from March 2018 until surgery or until March 2020 (patients with no indication for surgery). The final diagnosis of thyroid tissue samples was retrieved from postsurgical anatomopathological reports. FINDINGS: A total of 435 patients (440 nodules) classified as Bethesda III/IV were followed-up. The rate of avoided surgeries was 52·5% for all surgeries and 74·6% for "potentially unnecessary" surgeries. The test achieved 89·3% sensitivity, 81·65% specificity, 66·2% positive predictive value, and 95% negative predictive value. The test supported 92·3% of clinical decisions. INTERPRETATION: The reported data demonstrate that the use of the microRNA-based classifier in the real-world can reduce the rate of thyroid surgeries with robust performance and support clinical decision-making. FUNDING: The São Paulo Research-Foundation (FAPESP) and Onkos.

Influences of weight, age, gender, genetics, diseases, and ethnicity on bitterness perception: a narrative review of current methodological aspects

BACKGROUND: Bitterness perception seems to be related to an enhanced intake of dietary fat and to a tendency to the development of diseases such as obesity. However, the exact factors for this possible contribution still need to be better investigated. So, gustatory perception of the bitter taste is a promising area of study because of its importance regarding food choices and consequently feeding behavior. Therefore, this short review focused on recent papers reporting correlations between bitter taste, anthropometric variables, obesity and other chronic diseases, age, gender, ethnicity, and genetics. METHODS: A survey was performed in MEDLINE (PubMed) and Scielo from September 2015 to January 2017.Only review articles, observational studies and clinical trials published in English and Portuguese over the last15 years which met the objectives of the present study were considered. A total of 40 papers were evaluated. RESULTS: Two papers showed a positive correlation between bitter taste and obesity, one indicated that this correlation is influenced by the subject's age, one suggested a negative correlation, and two found no association. Age seems to be negatively correlated with the bitterness perceived, and female gender was associated with a stronger perception of bitterness. Genetics, mostly due to differences in TAS2R38 expression, influences sensitivity to the bitter taste, feeding behavior and also alcohol intake. Ethnicity, not only the subject's phenotypic or genotypic characteristics, seems to play a role in taste perception and nutritional diseases. CONCLUSIONS: Age, gender, genetics and ethnicity seem to play a role in bitterness perception. Data about associations between bitterness perception and anthropometrics are conflicting.