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Plasma-Derived miRNA-222 as a Candidate Marker for Papillary Thyroid Cancer

Aistė Kondrotienė, Albertas Daukša, Daina Pamedytytė, Mintautė Kazokaitė, Aurelija Žvirblienė, Dalia Daukšienė, Vaida Simanavičienė, Raimonda Klimaitė, Ieva Golubickaitė, Rytis Stakaitis, Valdas Šarauskas, Rasa Verkauskienė, Birutė Žilaitienė

2020International Journal of Molecular Sciences29 citationsDOIOpen Access PDF

Abstract

We analyzed five miRNA molecules (miR-221; miR-222; miR-146b; miR-21; miR-181b) in the plasma of patients with papillary thyroid cancer (PTC), nodular goiter (NG) and healthy controls (HC) and evaluated their diagnostic value for differentiation of PTC from NG and HC. Preoperative PTC plasma miRNA expression (n = 49) was compared with plasma miRNA in the HC group (n = 57) and patients with NG (n = 23). It was demonstrated that miR-221; miR-222; miR-146b; miR-21 and miR-181b were overexpressed in preoperative PTC plasma samples compared to HC (p < 0.0001; p < 0.0001; p < 0.0001; p < 0.0001; p < 0.002; respectively). The upregulation in tumor tissue of these miRNAs was consistent with The Cancer Genome Atlas Thyroid Carcinoma dataset. A significant decrease in miR-21; miR-221; miR-146b and miR-181b expression was observed in the plasma of PTC patients after total thyroidectomy (p = 0.004; p = 0.001; p = 0.03; p = 0.036; respectively). The levels of miR-222 were significantly higher in the preoperative PTC compared to the NG group (p = 0.004). ROC curve (receiver operating characteristic curve) analysis revealed miR-222 as a potential marker in distinguishing PTC from NG (AUC 0.711; p = 0.004). In conclusion; circulating miR-222 profiles might be useful in discriminating PTC from NG.

Topics & Concepts

Thyroid cancerThyroid carcinomamicroRNATotal thyroidectomyReceiver operating characteristicInternal medicineMedicinePapillary thyroid cancerGoiterThyroidectomyDownregulation and upregulationArea under the curveCancerPathologyEndocrinologyGastroenterologyThyroidChemistryGeneBiochemistryMicroRNA in disease regulationCancer-related molecular mechanisms researchRNA Research and Splicing
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