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首页> 外文期刊>Annals of surgical oncology >Expression profiling of difficult-to-diagnose thyroid histologic subtypes shows distinct expression profiles and identify candidate diagnostic microRNAs.
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Expression profiling of difficult-to-diagnose thyroid histologic subtypes shows distinct expression profiles and identify candidate diagnostic microRNAs.

机译：难以诊断的甲状腺组织学亚型的表达谱显示出不同的表达谱并鉴定出候选的诊断性microRNA。

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摘要

BACKGROUND: The incidence of thyroid cancer is increasing worldwide. The findings of up to 30% of thyroid fine-needle aspiration biopsies (FNAB) are inconclusive, primarily as a result of several thyroid histologic subtypes with overlapping cytologic features. MicroRNAs (miRNAs) are small noncoding RNAs and have been implicated in carcinogenesis. We hypothesized that there are miRNAs that are differentially expressed between benign and malignant thyroid tumors that are difficult to distinguish by FNAB. METHODS: The expression of 1263 human miRNAs was profiled in 47 tumor samples representing difficult to diagnose histologic subtypes of thyroid neoplasm (21 benign, 26 malignant). Differentially expressed miRNAs were validated by quantitative real-time reverse transcriptase-polymerase chain reaction. The area under the receiver operating characteristic curve (AUC) was used to determine the diagnostic accuracy of differentially expressed miRNAs. RESULTS: Supervised hierarchical cluster analysis demonstrated grouping of 2 histologies (papillary and follicular thyroid carcinoma). A total of 34 miRNAs were differentially expressed in malignant compared to benign thyroid neoplasms (P<0.05). A total of 25 of the 34 nonproprietary miRNAs were selected for validation, and 15 of the 25 miRNAs were differentially expressed between benign and malignant samples with P-value<0.05. Seven miRNAs had AUC values of >0.7. miR-7 and miR-126 had the highest diagnostic accuracy with AUCs values of 0.81 and 0.77, respectively. CONCLUSION: To our knowledge, this is the first study to evaluate the diagnostic accuracy of miRNAs in thyroid histologies that are difficult to distinguish as benign or malignant by FNAB. miR-126 and miR-7 had high diagnostic accuracy and could be helpful adjuncts to thyroid FNAB.
机译：背景：甲状腺癌的发病率在世界范围内正在增加。多达30％的甲状腺细针穿刺活检（FNAB）的结果尚无定论，主要是由于几种甲状腺组织学亚型具有重叠的细胞学特征。微小RNA（miRNA）是小的非编码RNA，并已参与致癌作用。我们假设存在良性和恶性甲状腺肿瘤之间差异表达的miRNA，很难用FNAB进行区分。方法：在47个肿瘤样本中分析了1263个人类miRNA的表达，这些样本代表难以诊断的甲状腺肿瘤的组织学亚型（21例良性，26例恶性）。通过定量实时逆转录酶-聚合酶链反应验证差异表达的miRNA。接收器工作特征曲线（AUC）下的面积用于确定差异表达的miRNA的诊断准确性。结果：有监督的层次聚类分析显示了两种组织学（乳头状和滤泡性甲状腺癌）的分组。与良性甲状腺肿瘤相比，共有34个miRNA在恶性肿瘤中差异表达（P <0.05）。在34个非专有miRNA中总共选择了25个用于验证，并且在25个miRNA中有15个在良性和恶性样品之间差异表达，P值<0.05。七个miRNA的AUC值> 0.7。 miR-7和miR-126的诊断准确性最高，AUC值分别为0.81和0.77。结论：据我们所知，这是第一项评估miRNA在甲状腺组织学中的诊断准确性的研究，这些组织学很难用FNAB区分为良性还是恶性。 miR-126和miR-7具有很高的诊断准确性，可能是甲状腺FNAB的辅助辅助手段。

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