Division of General Surgery, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ.
Mount Sinai Hospital, New York, NY.
J Surg Res. 2014 Aug;190(2):565-74. doi: 10.1016/j.jss.2014.03.042. Epub 2014 Mar 22.
Thyroid nodules are present in 19%-67% of the population and carry a 5%-10% risk of malignancy. Unfortunately, fine-needle aspiration biopsies are indeterminate in 20%-30% of patients, often necessitating thyroid surgery for diagnosis. Numerous DNA microarray studies including a recently commercialized molecular classifier have helped to better distinguish benign from malignant thyroid nodules. Unfortunately, these assays often require probes for >100 genes, are expensive, and only available at a few laboratories. We sought to validate these DNA microarray assays at the protein level and determine whether simple and widely available immunohistochemical biomarkers alone could distinguish benign from malignant thyroid nodules.
A tissue microarray (TMA) composed of 26 follicular thyroid carcinomas (FTCs) and 53 follicular adenomas (FAs) from patients with indeterminate thyroid nodules was stained with 17 immunohistochemical biomarkers selected based on prior DNA microarray studies. Antibodies used included galectin 3, growth and differentiation factor 15, protein convertase 2, cluster of differentiation 44 (CD44), glutamic oxaloacetic transaminase 1 (GOT1), trefoil factor 3 (TFF3), Friedreich Ataxia gene (X123), fibroblast growth factor 13 (FGF13), carbonic anhydrase 4 (CA4), crystallin alpha-B (CRYAB), peptidylprolyl isomerase F (PPIF), asparagine synthase (ASNS), sodium channel, non-voltage gated, 1 alpha subunit (SCNN1A), frizzled homolog 1 (FZD1), tyrosine related protein 1 (TYRP1), E cadherin, type 1 (ECAD), and thyroid hormone receptor associated protein 220 (TRAP220). Of note, two of these biomarkers (GOT1 and CD44) are now used in the Afirma classifier assay. We chose to compare specifically FTC versus FA rather than include all histologic categories to create a more uniform immunohistochemical comparison. In addition, we have found that most papillary thyroid carcinoma could often be reasonably distinguished from benign disease by morphological cytology findings alone.
Increased immunoreactivity of CRYAB was associated with thyroid malignancy (c-statistic, 0.644; negative predictive value [NPV], 0.90) and loss of immunoreactivity of CA4 was also associated with malignancy (c-statistic, 0.715; NPV, 0.90) in indeterminate thyroid specimens. The combination of CA4 and CRYAB for discriminating FTC from FA resulted in a better c-statistic of 0.75, sensitivity of 0.76, specificity of 0.59, positive predictive value (PPV) of 0.32, and NPV of 0.91. When comparing widely angioinvasive FTC from FA, the resultant c-statistic improved to 0.84, sensitivity of 0.75, specificity of 0.76, PPV of 0.11, and NPV of 0.99.
Loss of CA4 and increase in CRYAB immunoreactivity distinguish FTC from FA in indeterminate thyroid nodules on a thyroid TMA with an NPV of 91%. Further studies in preoperative patient fine needle aspiration (FNAs) are needed to validate these results.
甲状腺结节在人群中的检出率为 19%-67%,恶性风险为 5%-10%。不幸的是,20%-30%的患者细针穿刺活检结果不确定,往往需要甲状腺手术进行诊断。许多 DNA 微阵列研究,包括最近商业化的分子分类器,有助于更好地区分良性和恶性甲状腺结节。不幸的是,这些检测通常需要 >100 个基因的探针,价格昂贵,并且只能在少数实验室获得。我们试图在蛋白质水平上验证这些 DNA 微阵列检测,并确定简单且广泛可用的免疫组织化学生物标志物是否可以单独区分良性和恶性甲状腺结节。
我们制作了一个由 26 例滤泡状甲状腺癌(FTC)和 53 例滤泡性腺瘤(FA)组成的组织微阵列(TMA),这些肿瘤来自不确定的甲状腺结节患者。我们根据先前的 DNA 微阵列研究选择了 17 种免疫组织化学生物标志物进行染色。使用的抗体包括半乳糖凝集素 3、生长分化因子 15、蛋白转化酶 2、CD44 簇分化抗原、谷氨酸草酰乙酸转氨酶 1、三叶因子 3、弗里德里希共济失调基因 X123、成纤维细胞生长因子 13、碳酸酐酶 4、晶体蛋白 α-B、肽脯氨酰异构酶 F、天冬酰胺合成酶、钠通道非电压门控 1α 亚基、卷曲同源物 1、酪氨酸相关蛋白 1、E 钙黏蛋白 1 型和甲状腺激素受体相关蛋白 220。值得注意的是,这两种生物标志物(GOT1 和 CD44)现在都用于 Afirma 分类器检测。我们选择具体比较 FTC 与 FA,而不是包括所有组织学类别,以创建更统一的免疫组织化学比较。此外,我们发现大多数乳头状甲状腺癌通常可以通过形态细胞学发现单独合理地区分良性疾病。
CRYAB 免疫反应性增加与甲状腺恶性肿瘤相关(c 统计量为 0.644;阴性预测值[NPV]为 0.90),CA4 免疫反应性丧失也与恶性肿瘤相关(c 统计量为 0.715;NPV 为 0.90)在不确定的甲状腺标本中。CA4 和 CRYAB 联合用于鉴别 FTC 和 FA 的结果导致 c 统计量提高至 0.75,灵敏度为 0.76,特异性为 0.59,阳性预测值(PPV)为 0.32,NPV 为 0.91。当比较广泛血管侵袭性 FTC 与 FA 时,c 统计量提高至 0.84,灵敏度为 0.75,特异性为 0.76,PPV 为 0.11,NPV 为 0.99。
CA4 缺失和 CRYAB 免疫反应性增加可在甲状腺 TMA 上区分不确定甲状腺结节中的 FTC 和 FA,NPV 为 91%。需要进一步研究术前患者细针抽吸(FNA)以验证这些结果。