Stokowy Tomasz, Wojtaś Bartosz, Krajewska Jolanta, Stobiecka Ewa, Dralle Henning, Musholt Thomas, Hauptmann Steffen, Lange Dariusz, Hegedüs László, Jarząb Barbara, Krohn Knut, Paschke Ralf, Eszlinger Markus
Institute of Automatic Control, Silesian University of Technology, ul.Akademicka 16, 44-100 Gliwice, Poland; Department of Nuclear Medicine and Endocrine Oncology, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Gliwice Branch Wybrzeze AK 15, 44-101 Gliwice, Poland; Department of Clinical Science, University of Bergen, Postboks 7800, NO-5020 Bergen, Norway.
Department of Nuclear Medicine and Endocrine Oncology, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Gliwice Branch Wybrzeze AK 15, 44-101 Gliwice, Poland; Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology, Pasteura 3, Warsaw, Poland.
Mol Cell Endocrinol. 2015 Jan 5;399:43-9. doi: 10.1016/j.mce.2014.09.017. Epub 2014 Sep 26.
The inherent diagnostic limitations of thyroid fine needle aspiration (FNA), especially in the "indeterminate" category, can be partially overcome by molecular analyses. We aimed at the identification of miRNAs that could be used to improve the discrimination of indeterminate FNAs. miRNA expression profiling was performed for 17 follicular carcinomas (FTCs) and 8 follicular adenomas (FAs). The microarray results underwent cross-comparison using three additional microarray data sets. Candidate miRNAs were validated by qPCR in an independent set of 32 FTCs and 46 FAs. Sixty-eight differentially expressed miRNAs were identified. Thirteen miRNAs could be confirmed by cross comparison. A two-miRNA-classifier was established improving the diagnostic applicability and resulted in a sensitivity of 82% and a specificity of 49%. We present a classifier that has the potential to be successfully evaluated in cytology material for its capability to discriminate (mutation negative) indeterminate cytologies and thereby improving the pre-surgical diagnostics of thyroid nodules.
甲状腺细针穿刺活检（FNA）存在固有的诊断局限性，尤其是在“不确定”类别中，而分子分析可以部分克服这些局限性。我们旨在鉴定可用于改善不确定FNA鉴别诊断的微小RNA（miRNA）。对17例滤泡癌（FTC）和8例滤泡性腺瘤（FA）进行了miRNA表达谱分析。利用另外三个微阵列数据集对微阵列结果进行交叉比较。通过qPCR在一组独立的32例FTC和46例FA中对候选miRNA进行验证。鉴定出68个差异表达的miRNA。通过交叉比较可确认其中13个miRNA。建立了一个双miRNA分类器，提高了诊断适用性，灵敏度为82%，特异性为49%。我们提出了一种分类器，因其能够鉴别（无突变）不确定的细胞学结果，从而改善甲状腺结节的术前诊断，有潜力在细胞学材料中得到成功评估。
