Back to Search
Start Over
SAT-LB096 Relationship between MicroRNA Expression Levels and Clinicopathological Parameters and Recurrence of Papillary Thyroid Carcinoma
- Source :
- Journal of the Endocrine Society
- Publication Year :
- 2019
- Publisher :
- The Endocrine Society, 2019.
-
Abstract
- Introduction: Papillary thyroid carcinoma (PTC) is the most common type of endocrine cancer. Although PTC is a malignancy that has a good prognosis, disease progression occurs in up to 20 % of patients. Currently, recurrence risk stratification is accomplished by using clinicopathologic factors, despite their limited prognostic value. Number of biomarkers for PTC recurrence prediction is still very limited. Identification of possible associations of traditional clinicopathological parameters of disease recurrence with molecular biomarkers of PTC may help better understanding the carcinogenesis and improving the clinical management of patients with PTC. Objectives: The aim of this study was to identify specific miRNAs as biomarkers for predicting the recurrence of PTC and to analyze the association between miRNAs expression levels and clinicopathologic characteristics of PTC. Methods: We selected 5 miRNAs (miRNA- 146b, -222, -21, -221 and -181b) and measured the expression levels of these miRNAs in 400 FFPE PTC tissue specimens and compared the levels of selected miRNAs expression to healthy thyroid tissue. We also analyzed the correlation between miRNAs (- 146b, -222, -21, -221 and -181b) expression and clinicopathologic characteristics of PTC. Results: Levels of miR-146b, miR-222, miR-21, miR-221 and miR-181b expression in PTC tissue samples (n = 400) were compared with those in healthy thyroid tissue (n = 4). All miRNAs were over-expressed in PTC tissue compared to healthy thyroid tissue (p ˂ 0.01, p ˂ 0.01, p ˂ 0.01, p ˂ 0.01 and p = 0.19 respectively). Higher expression levels of miRNAs (miRNA-146b p
Details
- ISSN :
- 24721972
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- Journal of the Endocrine Society
- Accession number :
- edsair.doi.dedup.....141dc91675abc30b98bbb7e96c69080c
- Full Text :
- https://doi.org/10.1210/js.2019-sat-lb096