Expression of micro-ribonucleic acids in thyroid nodules and serum to discriminate between follicular adenoma and cancer in patients with a fine needle aspiration biopsy classified as suspicious for follicular neoplasm: A preliminary study.

BACKGROUND: Approximately 10% of thyroid nodules undergoing fine needle aspiration biopsy (FNAB) receive a suspicious for follicular neoplasm (SFN) classification. Currently, there is no diagnostic tool to preoperatively discriminate between follicular adenoma (FA) and thyroid cancer (TC), and most patients require surgery to exclude malignancy. OBJECTIVES: To characterize the micro-ribonucleic acid (miRNA) signature of tumors assessed as SFN and define circulating miRNA patterns to distinguish FA from follicular cancer in patients with thyroid nodules biopsied using FNAB. MATERIAL AND METHODS: The study included excised tumor and thyroid tissue samples from 80 consecutive patients collected by a pathologist in the operating theater. The miRNA was isolated from specimens at the Center for Medical Genomics OMICRON, and next-generation sequencing (NGS) was used to obtain target miRNAs. In addition, miRNA expression was detected in serum using polymerase chain reaction (PCR). RESULTS: Well-differentiated thyroid cancer (WDTC) samples had significantly higher expression levels of hsa-miR-146b-5p (p = 0.030) and hsa-miR-146b-3p (p = 0.032), while the expression levels of hsa-miR-195-3p were significantly lower (p = 0.032) in WDTC samples compared to FA specimens. The serum of TC patients showed markedly higher expression of the unique miRNA hsa-miR-195-3p (p = 0.039). CONCLUSIONS: The overexpression of hsa-miR-146b-5p and hsa-miR-146b-3p, and the downregulation of hsa-miR-195-3p expression could be used as biomarkers to distinguish FA from WDTC in patients with FNAB results classified as Bethesda tier IV. In addition, hsa-miR-195-3p could act as a serum biomarker for differentiating patients with FA from those with WDTC, and preoperative measurement of its expression would help avoid unnecessary surgeries. However, this concept needs further verification in a more substantial prospective study.

Polymorphism rs7023923 and monocyte count in blood donors and coronary artery disease patients.

BACKGROUND: The importance of the role of monocytes in coronary artery disease (CAD) is well documented. An increased number of circulating monocytes is associated with higher incidence of CAD. Both environmental and genetic factors influence monocytosis. The latter have been extensively studied since the development of high-throughput genome-wide association studies. Several associations between polymorphisms and monocytosis were found among healthy individuals; the first example was rs7023923. The magnitude of the association of studied polymorphisms with the trait of interest is often confounded by environmental factors and may therefore differ between patient and healthy populations. It is very important to determine the magnitude of the association among patients to predict outcome of the disease, e.g. myocardial infarction. AIM: To determine whether the magnitude of association of rs7023923 with monocytosis, previously reported among healthy volunteers, is similar in patients in whom diagnosis of CAD was determined during elective coronarography. METHODS AND RESULTS: Leucocytosis and neutrophilocytosis were higher among patients with CAD, while thrombocytosis was lower. Monocyte count did not differ among the studied groups (p = 0.25). We confirmed the association of rs7023923 with monocytosis among healthy blood donors (p = 0.0156) but not among patients admitted for elective coronarography (p = 0.61). Inclusion of the age and sex of patients in the statistical model did not modify the results. CONCLUSIONS: Our data suggest that translation of the results of genetic association with the studied traits from healthy to patient population should be implemented with caution. It is possible that numerous environmental factors, which discriminate healthy volunteers from CAD patients, confound the magnitude of genetic associations and make interpretation of the data in patients less clear.