دورية أكاديمية

Analysis of Let-7 Family miRNA in Plasma as Potential Predictive Biomarkers of Diagnosis for Papillary Thyroid Cancer

التفاصيل البيبلوغرافية
العنوان: Analysis of Let-7 Family miRNA in Plasma as Potential Predictive Biomarkers of Diagnosis for Papillary Thyroid Cancer
المؤلفون: Ewelina Perdas, Robert Stawski, Krzysztof Kaczka, Maria Zubrzycka
المصدر: Diagnostics, Vol 10, Iss 3, p 130 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Medicine (General)
مصطلحات موضوعية: ptc, mirna, let-7, ddpcr, diagnostics, Medicine (General), R5-920
الوصف: The most common histological type of thyroid cancer is papillary thyroid carcinoma (PTC). Radical resection of the thyroid gland is currently the recommended method of treatment. Almost 75% of thyroidectomies performed just for diagnostic purposes are benign. Thus, the confirmation of innovative and more precise noninvasive biomarkers holds promise for the detection of PTC, which may decrease the number of unnecessary thyroid lobectomies. In this work, using the droplet digital PCR (ddPCR) method, we have analyzed the level of five miRNAs (let-7a, let-7c, let-7d, let-7f, and let-7i) in the plasma of patients with PTC and compared them with those of a healthy control group to investigate whether miRNAs also have value in the management of PTC. Levels of four miRNAs, namely let-7a, let-7c, let-7d, and let-7f, were significantly higher in PTC patients than healthy controls. Thus, the analysis of circulating let-7 can be a useful tool and support the currently used methods for PTC diagnosis. However, our observation requires further research on a larger patient group.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2075-4418
العلاقة: https://www.mdpi.com/2075-4418/10/3/130Test; https://doaj.org/toc/2075-4418Test
DOI: 10.3390/diagnostics10030130
الوصول الحر: https://doaj.org/article/a2682bded8804cbfa33455bb5dcaf2d5Test
رقم الانضمام: edsdoj.2682bded8804cbfa33455bb5dcaf2d5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20754418
DOI:10.3390/diagnostics10030130