Endocrine Surgery Section, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Thyroid. 2012 Mar;22(3):275-84. doi: 10.1089/thy.2011.0169. Epub 2012 Jan 26.
The preoperative diagnosis of thyroid nodules primarily depends upon fine needle aspiration (FNA) cytology. However, up to 25% of FNA samples have associated "suspicious or indeterminate", but not diagnostic cytologic reports, resulting in difficulty deciding appropriate clinical management for these patients. We hypothesize that the use of molecular markers as an adjunct to FNA cytology can improve the distinction of benign from malignant nodules that have associated suspicious or indeterminate cytology.
Using microarray analysis, we previously identified and reported on 75 genes useful in the distinction of benign versus malignant thyroid nodules. In the present study, we have further validated the expression of 14 of these markers in a large number of thyroid samples by immunohistochemistry (IHC) analysis of 154 thyroid tumors and quantitative real-time RT-PCR (QRT-PCR) analysis of 95 FNA samples. Of the 154 tumors analyzed by IHC, 44 samples (29%) had associated suspicious or indeterminate FNA cytology.
Receiver operating characteristic using three-gene model, (HMGA2, MRC2, and SFN) analysis for the detection of malignant nodules resulted in areas under the curve (AUCs) of≥0.95 (80% sensitivity; 100% specificity) and≥0.84 (71% sensitivity; 84% specificity) for the IHC data in tumors, and QRT-PCR data in FNA samples, respectively.
Our results suggest that a three-gene model for the cytological diagnosis of indeterminate thyroid nodules is both feasible and promising. Implementation of this as an adjunct to thyroid cytology may significantly impact the clinical management of patients with suspicious or indeterminate thyroid FNA nodules.
甲状腺结节的术前诊断主要依赖于细针穿刺(FNA)细胞学检查。然而,多达 25%的 FNA 样本存在“可疑或不确定”但没有诊断性细胞学报告,这导致难以为这些患者确定适当的临床管理方案。我们假设,将分子标志物作为 FNA 细胞学检查的辅助手段,可以提高对具有可疑或不确定细胞学的良性和恶性结节的区分能力。
我们之前使用微阵列分析鉴定并报告了 75 个有助于区分良性与恶性甲状腺结节的基因。在本研究中,我们通过对 154 个甲状腺肿瘤进行免疫组织化学(IHC)分析和对 95 个 FNA 样本进行实时定量 RT-PCR(QRT-PCR)分析,进一步验证了其中 14 个标志物的表达情况。在通过 IHC 分析的 154 个肿瘤中,有 44 个样本(29%)的 FNA 细胞学检查结果为可疑或不确定。
使用三基因模型(HMGA2、MRC2 和 SFN)进行恶性结节检测的接收者操作特征分析,在肿瘤的 IHC 数据和 FNA 样本的 QRT-PCR 数据中,曲线下面积(AUCs)分别≥0.95(80%的敏感性;100%的特异性)和≥0.84(71%的敏感性;84%的特异性)。
我们的结果表明,用于不确定甲状腺结节细胞学诊断的三基因模型是可行且有前途的。将其作为甲状腺细胞学检查的辅助手段实施,可能会显著影响可疑或不确定甲状腺 FNA 结节患者的临床管理。