Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Endocrine. 2024 Jun;84(3):1146-1153. doi: 10.1007/s12020-024-03687-6. Epub 2024 Feb 10.
Parathyroid carcinoma (PC) is an endocrine malignancy with a poor prognosis. However, the diagnosis of PC is still a difficult problem. A model with immunohistochemical (IHC) staining of 5 biomarkers has been reported from limited samples for the differential diagnosis of PC. In the present study, a series of IHC markers was applied in relatively large samples to optimize the diagnostic model for PC.
In this study, 44 patients with PC, 6 patients with atypical parathyroid tumors and 57 patients with parathyroid adenomas were included. IHC staining for parafibromin, Ki-67, galectin-3, protein-encoding gene product 9.5 (PGP9.5), E-cadherin, and enhancer of zeste homolog 2 (EZH2) was performed on formalin-fixed, paraffin-embedded tissue samples. The effects of clinical characteristics, surgical procedure, and IHC staining results of tumor tissues on the diagnosis and prognosis of PC were evaluated retrospectively.
A logistic regression model with IHC results of parafibromin, Ki-67, and E-cadherin was created to differentiate PC with an area under the curve of 0.843. Cox proportional hazards analysis showed that negative parafibromin staining (hazard ratio: 3.26, 95% confidence interval: 1.28-8.34, P = 0.013) was related to the recurrence of PC.
An IHC panel of parafibromin, Ki-67 and E-cadherin may help to distinguish PC from parathyroid neoplasms. Among the 6 IHC markers and clinical features examined, the risk factor related to PC recurrence was parafibromin staining loss.
甲状旁腺癌(PC)是一种预后不良的内分泌恶性肿瘤。然而,PC 的诊断仍然是一个难题。据报道,一种基于 5 种生物标志物免疫组织化学(IHC)染色的模型可用于鉴别 PC。本研究应用一系列 IHC 标志物在相对较大的样本中优化 PC 的诊断模型。
本研究纳入了 44 例 PC 患者、6 例非典型甲状旁腺瘤患者和 57 例甲状旁腺腺瘤患者。对福尔马林固定、石蜡包埋组织样本进行了成纤维细胞蛋白、Ki-67、半乳糖凝集素-3、蛋白编码基因产物 9.5(PGP9.5)、E-钙黏蛋白和增强子的 Zeste 同源物 2(EZH2)的免疫组化染色。回顾性评估了临床特征、手术方式和肿瘤组织免疫组化染色结果对 PC 诊断和预后的影响。
建立了一个包含成纤维细胞蛋白、Ki-67 和 E-钙黏蛋白免疫组化结果的逻辑回归模型,用于区分 PC,其曲线下面积为 0.843。Cox 比例风险分析表明,成纤维细胞蛋白染色阴性(风险比:3.26,95%置信区间:1.28-8.34,P=0.013)与 PC 的复发有关。
成纤维细胞蛋白、Ki-67 和 E-钙黏蛋白的 IHC 标志物组合可能有助于将 PC 与甲状旁腺肿瘤区分开来。在检查的 6 种 IHC 标志物和临床特征中,与 PC 复发相关的风险因素是成纤维细胞蛋白染色丢失。