Nuclear Medicine and PET Research, VU University Medical Centre, Amsterdam, The Netherlands.
Clin Endocrinol (Oxf). 2008 Feb;68(2):252-7. doi: 10.1111/j.1365-2265.2007.03031.x. Epub 2007 Sep 13.
Distinguishing malignant thyroid nodules in patients with follicular cytology by fine-needle aspiration (FNA) remains problematic. The large majority of thyroid nodules (> 85%) are overtreated. Therefore, a clear need exists to develop more accurate initial diagnostic tests for follicular thyroid nodules. Galectin-3 is the most recent promising marker to aid discrimination between benign and malignant thyroid lesions; however, this biomarker can be absent in follicular malignancies.
This study was undertaken to determine whether additional biomarkers can help to discriminate between benign and malignant thyroid nodules.
Surgical specimens of 36 patients with benign (n = 12) and malignant (n = 24) thyroid nodules showing follicular cytology were assessed by immunohistochemistry for the expression of galectin-3 and novel biomarkers.
Expression of hexokinase III (HK III) (P = 0.000) cyclin A (P = 0.002) and galectin-3 (P = 0.003) differed significantly between benign and malignant thyroid nodules. HK III had a sensitivity of 79% [95% confidence interval (CI) 60-91] and a specificity of 100% (95% CI 76-100) in predicting malignancy. Galectin-3 had a sensitivity of 79% (95% CI 56-91) and a specificity of 75% (95% CI 47-91) in predicting malignancy. Combining HK III, cyclin A and galectin-3 in a parallel test increased the sensitivity to 96% (95% CI 80-99) while the specificity remained at a high level of 75% (95% CI 47-91). Leave-one-out cross-validation demonstrated a stable predictive validity of a model based on HK III, cyclin A and galectin-3.
In this study, we have demonstrated that in addition to galectin-3, HK III and cyclin A profiles could be important biomarkers in predicting malignancy in follicular thyroid nodules. The use of these biomarkers may allow an accurate preoperative diagnosis of thyroid cancer, which can be cost saving and may avoid serious morbidity such as vocal cord paralysis. The value of the suggested biomarkers warrants further evaluation in a large prospective study on cytological samples of follicular thyroid nodules.
通过细针抽吸(FNA)鉴别滤泡细胞的甲状腺结节中的恶性结节仍然存在问题。绝大多数甲状腺结节(> 85%)被过度治疗。因此,迫切需要开发更准确的滤泡性甲状腺结节初始诊断测试。半乳糖凝集素-3是最近最有前途的辅助鉴别良恶性甲状腺病变的标志物;然而,这种生物标志物可能在滤泡性恶性肿瘤中不存在。
本研究旨在确定是否有其他生物标志物可以帮助鉴别滤泡性甲状腺结节的良恶性。
对 36 例具有滤泡细胞的良性(n = 12)和恶性(n = 24)甲状腺结节的手术标本进行免疫组织化学检测,以评估半乳糖凝集素-3和新型标志物的表达。
在良性和恶性甲状腺结节之间,己糖激酶 III(HK III)(P = 0.000)、细胞周期蛋白 A(P = 0.002)和半乳糖凝集素-3(P = 0.003)的表达有显著差异。HK III 在预测恶性肿瘤方面的敏感性为 79%(95%CI 60-91),特异性为 100%(95%CI 76-100)。半乳糖凝集素-3在预测恶性肿瘤方面的敏感性为 79%(95%CI 56-91),特异性为 75%(95%CI 47-91)。在平行试验中,将 HK III、细胞周期蛋白 A 和半乳糖凝集素-3结合使用,可将敏感性提高到 96%(95%CI 80-99),而特异性仍保持在 75%(95%CI 47-91)的高水平。逐一排除交叉验证表明,基于 HK III、细胞周期蛋白 A 和半乳糖凝集素-3的模型具有稳定的预测价值。
在本研究中,我们已经证明,除了半乳糖凝集素-3之外,HK III 和细胞周期蛋白 A 谱可能是预测滤泡性甲状腺结节恶性肿瘤的重要生物标志物。这些生物标志物的使用可能允许对甲状腺癌进行准确的术前诊断,这可以节省成本,并可能避免声带麻痹等严重的发病率。建议的生物标志物的价值需要在滤泡性甲状腺结节细胞学样本的大型前瞻性研究中进一步评估。